SD.Next SD. Next is app based on AUTOMATIC1111 stable diffusion webui  See Installation example and Test 1 - 46 on https://wiki.liutyi.info/display/DEVOPS/SD.Next  Test 26 - Create Ai book logo Artificial intelligence Try different Ai models to generate book cover for bookstack site Model/ Prompt (Size) shuttle-3.1-aesthetic [6e1883042a] FLUX.1-dev [3de623fc3c] HiDream-I1-Full [fe6156b63d] Artificial intelligence (440x248) Prompt: Artificial intelegence Parameters: Pipeline: FluxPipeline| Steps: 20| Size: 440x248| Seed: 77718796| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: shuttle-3.1-aesthetic   Time: 2m 27.73s | total 231.52 pipeline 125.49 preview 49.76 move 12.63 prompt 12.62 te 12.59 decode 9.61 offload 8.82 | GPU 32 220 MB 25% | RAM 25 .51 GB 20% Prompt: Artificial intelligence Parameters: Pipeline: FluxPipeline| Steps: 20| Size: 440x248| Seed: 1998877164| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: FLUX.1-dev   Time: 2m 35.03s | total 253.05 pipeline 126.53 preview 58.23 decode 16.36 offload 15.57 move 12.13 prompt 12.12 te 12.08 | GPU 32 290 MB 25% | RAM 25 .02 GB 20% Prompt: Artificial intelligence Parameters: Pipeline: HiDreamImagePipeline| Steps: 20| Size: 440x248| Seed: 3499019024| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: HiDream-I1-Full   Time: 17m 25.07s | total 1170.85 pipeline 980.22 move 48.86 prompt 47.79 te 45.14 preview 20.11 decode 15.95 offload 12.73 | GPU 39 228 MB 31% | RAM 58 .95 GB 47% (Result image is 1360x768 )   OmniGen2 [453419871d] juggernautXL [33e58e8668] juggernaut_reborn [338b85bc4f] Artificial intelligence (440x248) Prompt: Artificial intelligence Parameters: Pipeline: OmniGen2Pipeline| Steps: 20| Size: 440x248| Seed: 2523245077| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: OmniGen2   Time: 1m 6.42s | total 66.44 pipeline 66.39 | GPU 15 824 MB 12% | RAM 3 .5 GB 3% Prompt: Artificial intelligence Parameters: Pipeline: StableDiffusionXLPipeline| Steps: 20| Size: 440x248| Seed: 177179858| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: juggernautXL_juggXIByRundiffusion| Model hash: 33e58e8668   Time: 18.20s | total 28.38 pipeline 14.98 preview 9.86 move 1.71 prompt 1.10 decode 0.58 | GPU 7 336 MB 6% | RAM 3 .66 GB 3% Prompt: Artificial intelligence Parameters: Pipeline: StableDiffusionPipeline| Steps: 60| Size: 440x248| Seed: 2954274510| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: juggernaut_reborn| Model hash: 338b85bc4f   Time: 29.25s | total 31.76 pipeline 28.67 preview 2.40 decode 0.47 | GPU 2 448 MB 2% | RAM 3 .65 GB 3% Chroma [c98e7c057c] Cosmos-Predict2-2B-Text2Image [015332720f] stable-diffusion-3.5-large [ ceddf0a7fd ] Artificial intelligence (440x248) (880x496) (880x496) Prompt: Artificial intelligence Parameters: Pipeline: ChromaPipeline| Steps: 40| Size: 440x248| Seed: 3631163972| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: Chroma   Time: 6m 29.28s | total 568.84 pipeline 380.49 preview 167.66 decode 5.11 offload 4.59 move 3.67 prompt 3.66 te 3.64 | GPU 26 474 MB 21% | RAM 19 .4 GB 15% Prompt: Artificial intelligence Parameters: Pipeline: Cosmos2TextToImagePipeline| Steps: 24| Size: 880x496| Seed: 2752054978| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: Cosmos-Predict2-2B-Text2Image   Time: 2m 38.78s | total 170.21 pipeline 158.76 te 11.43 | GPU 9 802 MB 8% | RAM 15 .96 GB 13% Prompt: Artificial intelligence Parameters: Pipeline: StableDiffusion3Pipeline| Steps: 24| Size: 880x496| Seed: 2224330216| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: stable-diffusion-3.5-large   Time: 6m 18.68s | total 385.22 pipeline 370.44 move 6.55 prompt 5.93 decode 2.29 | GPU 16 764 MB 13% | RAM 28 .94 GB 23% stable-cascade [a89f66d459] Cosmos-Predict2-14B-Text2Image  [015332720f] F-Lite [2dae1306bd] Artificial intelligence (880x496) Prompt: Artificial intelligence Parameters: Pipeline: StableCascadeCombinedPipeline| Steps: 20| Size: 880x496| Seed: 2709937372| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: stable-cascade   Time: 1m 8.60s | total 68.76 pipeline 68.52 | GPU 12 382 MB 10% | RAM 3 .04 GB 2% (Result image is 896x512 ) Prompt: Artificial intelligence Parameters: Pipeline: Cosmos2TextToImagePipeline| Steps: 24| Size: 880x496| Seed: 2413833806| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image   Time: 13m 40.24s | total 832.43 pipeline 820.22 te 12.19 | GPU 27 678 MB 22% | RAM 38 .84 GB 31% Prompt: Artificial intelligence Parameters: Pipeline: FLitePipeline| Steps: 40| Size: 880x496| Seed: 1332699729| CFG scale: 6| App: SD.Next| Version: 4e449ca| Operations: txt2img| Model: F-Lite   Time: 10m 2.56s | total 616.40 pipeline 597.66 offload 6.64 te 5.45 decode 4.88 gc 1.75 | GPU 29 710 MB 23% | RAM 21. 04 GB 17% System Info app: sdnext.git updated: 2025-07-12 hash: 4e449ca9 url: https://github.com/vladmandic/sdnext.git/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-29-generic python: 3.12.3 Torch 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: ram: free:113.3 used:12.03 total:125.33 xformers: diffusers: 0.35.0.dev0 transformers: 4.53.2 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: Diffusers/nvidia/Cosmos-Predict2-14B-Text2Image [015332720f] refiner: none vae: none te: none unet: none SD.Next supported models https://vladmandic.github.io/sdnext-docs/Models/ List of Models by Size Created on 2025-07-15. Last update 2025-08-08 Publisher Model Version Size Diffusion Architecture Model Params Text Encoder(s) TE Params Auto Encoder Wan-AI WAN 2.2 A14B 118G MMDiT 14.28B UMT5-XXL 5.6B 48ch VAE Wan-AI WAN 2.1 14B 78.52GB MMDiT 14.28B UMT5-XXL 5.6B 16ch VAE HiDream-AI HiDream I2 Fast/Dev/Full 42.71 GB + 15.69 MMDiT 17.10B CLiP ViT-L + ViT+G + T5-XXL + LLama-3.1-8B 0.12B + 0.69B + 2.95B + 4.54B 16ch VAE Qwen Qwen-Image 1 56.10GB MMDiT 20.43 QWen-2.5 8.29B   nVidia Cosmos-Predict2 T2I 14B 37.36GB MMDiT 14.26B T5-XXL 4.86 WAN-VAE Black Forest Labs Flux 1 Dev/Schnell Kontext Krea 32.93GB MMDiT 11.9B CLiP ViT-L + T5-XXL 0.12B + 4.76B 16ch VAE ShuttleAI shuttle 3.1 32.93GB MMDiT 11.9B CLiP ViT-L + T5-XXL 0.12B + 4.76B 16ch VAE WAN-AI WAN 2.2 5B 32G tbd 5B tbd tbd tbd FAL AuraFlow 0.3 31.90GB MMDiT 6.8B UMT5 12.1B VAE VectorSpaceLab OmniGen v2 30.50GB Transformer 3.97B Qwen-VL-2.5 3.75B VAE Thudm CogView 4 30.39GB DiT 6.37B GLM-4 9.40B VAE Kandinsky Kandinsky 3 27.72GB Unet 3.05B T5-XXXL 8.72B VQ Wan-AI WAN 2.1 1.3B 27.72GB MMDiT 1.42xB UMT5-XXL 5.68B 16ch VAE StabilityAI Stable Diffusion 3.5 Large 26.98GB MMDiT 8.05B CLiP ViT-L + ViT+G + T5-XXL 0.12B + 0.69B + 4.76B 16ch VAE lodestones Chroma 36 26.84GB MMDiT 8.9B CLiP ViT-L + T5-XXL 0.12B + 4.76B 16ch VAE Ostris Flex 1 Alpha 25.65GB MMDiT 4.0B CLiP ViT-L + T5-XXL 0.12B + 2.95B 16ch VAE Thudm CogView 3 Plus 24.96GB DiT 2.85B T5-XXL 4.76B VAE PixArt Α, Σ XL 2 21.3GB DiT 0.61B T5-XXL 4.76B VAE AlphaVLLM Lumina 2 20.75GB DiT 2.61B Gemma-2 2.61B 16ch VAE FreePix F-Lite   19.81GB MMDiT 9.8B T5-XXL 2.95B 16ch VAE Bria AI Bria 3.2 18.66GB MMDiT 3.78B  T5-XXL 4.76B  16ch VAE Kwai Kolors N/A 17.40GB UNnet 2.58B ChatGLM 6.24B VAE StabilityAI Stable Diffusion 3.5 Medium 15.89GB MMDiT 2.25B CLiP ViT-L + ViT+G + T5-XXL 0.12B + 0.69B + 4.76B 16ch VAE NVLabs Sana 1.5 4.8B 15.58GB MMDiT 4.72B Gemma2 2.61B DC-AE DeepFloyd IF L 15.48GB Multi-stage UNet 0.61B + 0.93B T5-XXL 4.76B Pixel VectorSpaceLab OmniGen v1 15.47GB Transformer 3.76B Phi-3 0 VAE StabilityAI Stable Diffusion 3.0 Medium 15.14GB MMDiT 2.0B CLiP ViT-L + ViT+G + T5-XXL 0.12B + 0.69B + 4.76B 16ch VAE Tencent HunyuanDiT 1.2 14.09GB DiT 1.5B BERT + T5-XL 3.52B + 1.67B VAE PlaygroundAI Playground 2.x 13.35GB UNet 2.56B CLiP ViT-L + ViT+G 0.12B + 0.69B VAE nVidia Cosmos-Predict2 T2I 2B 13.32GB MMDiT 1.96B T5-XXL 4.86 WAN-VAE DeepFloyd IF M 12.79GB Multi-stage UNet 0.37B + 0.46B T5-XXL 4.76B Pixel NVLabs Sana 1.0 1600M 12.63GB MMDiT 1.60B Gemma2 2.61B DC-AE Warp AI Wuerstchen N/A 12.16GB Multi-stage UNet 1.0B + 1.05B CLiP ViT-L + ViT+G 0.12B + 0.69B 42x VQE StabilityAI Stable Cascade Medium 11.82GB Multi-stage UNet 1.56B + 3.6B CLiP ViT-G 0.69B 42x VQE NVLabs Sana 1.5 1.6B 9.49GB MMDiT 1.60B Gemma2 2.61B DC-AE Segmind SSD-1B N/A 8.72GB UNet 1.33B CLiP ViT-L + ViT+G 0.12B + 0.69B VAE AlphaVLLM Lumina Next SFT 8.67GB DiT 1.7B Gemma 2.5B VAE NVLabs Sana 1.0 600M 7.51GB MMDiT 0.59B Gemma2 2.61B DC-AE Salesforce BLIP-Diffusion N/A 7.23GB UNet 0.86B CLiP ViT-L + BLiP-2 0.12B + 0.49B VAE StabilityAI Stable Diffusion XL 6.94GB UNet 2.56B CLiP ViT-L + ViT+G 0.12B + 0.69B VAE Koala Koala 700M 6.58GB UNet 0.78B CLiP ViT-L + ViT+G 0.12B + 0.69B VAE Segmind Vega N/A 6.43GB UNet 0.75B CLiP ViT-L + ViT+G 0.12B + 0.69B VAE Thu-ML UniDiffuser v1 5.37GB U-ViT 0.95B CLiP ViT-L + CLiP ViT-B 0.12B + 0.16B VAE Kandinsky Kandinsky 2.2 5.15GB Unet 1.25B CLiP ViT-G 0.69B VQ StabilityAI Stable Cascade Lite 4.97GB Multi-stage UNet 0.7B + 1.0B CLiP ViT-G 0.69B 42x VQE PlaygroundAI Playground 1 4.95GB UNet 0.86B CLiP ViT-L 0.12B VAE MeissonFlow Meissonic N/A 3.64GB DiT 1.18B CLiP ViT-H 0.35B VQ Open-MUSE aMUSEd 256 3.41GB ViT 0.60B CLiP ViT-L 0.12B VQ StabilityAI Stable Diffusion 2.1 2.58GB UNet 0.86B CLiP ViT-H 0.34B VAE StabilityAI Stable Diffusion 1.5 2.28GB UNet 0.86B CLiP ViT-L 0.12B VAE IDKiro SDXS N/A 2.05GB UNet 0.32B CLiP ViT-L 0.12B VAE Segmind Tiny N/A 1.03GB UNet 0.32B CLiP ViT-L 0.12B VAE Generation Examples Searching for highest resolution available on SD.Next ipex (dev 2025-07-15) on ultra 9 185H + 128GB RAM Test Prompt : VibrantlySharp style, 3pic_vist4, animeniji, in a soft-focus painterly concept art style Upper body profile view, autumn dryad elf adorned in translucent red foliage and bark-textured silk, wind animating her hair and dress into motion, background: ancient twilight forest, distant amber sunlight diffused through fog and drifting leaves. Stable Diffusion 3.5 Large+ class models Text to Image generation examples for models with size larger than 26.8GB. It is range from lodestone Chroma and SD3.5L which both are about 27GB in size. And up to Wan 2.1 14B which is about 75GB in size. Decent quality is generated in about 10 minutes on this Model size class on Intel Core Ultra 9 185H with 128GB of DDR5 (ipex, iGPU) 🪪- Models require identification, access request, agree on terms Model Low steps High steps Wan2.2-T2V-A14B 256x256 - 2m 7.55s @ 24 STEPS 256x256 - 4m 21.77s @ 50 STEPS 512x512 - 5m 55.53s @ 20STEPS 768x768 - hangs 768x1024 - hangs 1024x1024- 27m 6.16s @ 20STEPS 1024x1024-  66m 59.70s @ 50STEPS   UniPC  Multistep Scheduler   generation progress + preview   ⭐⭐   2025-07-30 2025-07-31 - OOM for all Parameters: Steps: 20| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 636d261| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers   Time: 27m 6.16s | total 1721.93 pipeline 1625.83 preview 64.05 vae 10.38 offload 10.13 te 9.62 gc 2.15 post 0.31 | GPU 39894 MB 31% | RAM 29.77 GB 24% Parameters: Steps: 50| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 636d261| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers   Time: 66m 59.70s | total 4090.56 pipeline 4019.37 preview 46.47 vae 10.70 offload 10.06 gc 2.17 te 2.04 post 0.32 | GPU 40040 MB 31% | RAM 29.63 GB 24% Wan2.1-T2V-14B 256x256 - 1m 41.11s @ 16 STEPS 512x512 - 5m 48.96s @ 20STEPS 512x512 - 11m 42.14s @ 40STEPS 512x768 - hangs   UniPC  Multistep Scheduler   generation progress + preview    ⭐⭐⭐⭐ 512x512- 5m 48.96s @ 20 STEPS Parameters: Pipeline: WanPipeline| Steps: 20| Size: 512x512 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 251c919| Operations: txt2img| Model: Wan2.1-T2V-14B-Diffusers   Time: 5m 48.96s | total 511.83 pipeline 348.65 preview 140.76 offload 9.90 vae 8.66 gc 2.12 te 1.99 post 0.29 | GPU 39 054 MB 30% | RAM 29 .72 GB 24% 512x512- 11m 42.14s @ 40 STEPS Parameters: Pipeline: WanPipeline| Steps: 40| Size: 512x512 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 251c919| Operations: txt2img| Model: Wan2.1-T2V-14B-Diffusers   Time: 11m 42.14s | total 1079.70 pipeline 701.83 preview 345.45 vae 12.42 offload 11.25 te 6.87 gc 2.12 post 0.28 | GPU 38 830 MB 30% | RAM 29 .44 GB 23% HiDream I1 Full🪪 (Meta-Llama-3.1-8B-Instruct 🪪)   512x512 generates 1024x1024 768x768 generates 1024x1024 1024x1024 -10m 29.57s @ 12 STEPS 1024x1024 - 16m 42.62s @ 20 STEPS 1024x1024 -41m 42.55s @ 50 STEPS 1280x1280 generates 1024x1024 2048x2048 generates 1024x1024   UniPC  Multistep Scheduler   generation progress + preview   ⭐⭐⭐⭐⭐ 1024x1024 - 10m 29.57s @ 12 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 12| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-I1-Full   Time: 10m 29.57s | total 685.95 pipeline 593.18 move 21.17 prompt 21.13 te 18.92 decode 14.95 offload 11.79 preview 4.42 gc 0.61 post 0.27 | GPU 4 508 MB 4% | RAM 58 .59 GB 47% 1024x1024 - 41m 42.55s @ 50 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 50| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-I1-Full   Time: 41m 42.55s | total 2576.47 pipeline 2466.40 preview 22.89 move 20.63 prompt 20.52 te 18.32 decode 15.24 offload 12.13 gc 0.55 post 0.27 | GPU 4 572 MB 4% | RAM 58 .59 GB 47% HiDream I1 Dev🪪   1024x1024 17m 47.83s @ 20 STEP 1024x1024 23m 59.26s @ 28 STEP   FlowMatch LCM  Scheduler   generation progress + preview   ⭐⭐⭐⭐⭐ 1024x1024 - 17m 47.83s  @ 20 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 20| Size: 1024x1024 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-I1-Dev   Time: 17m 47.83s | total 1151.56 pipeline 1019.03 move 30.23 prompt 30.11 te 27.23 decode 18.25 offload 15.44 preview 10.76 gc 0.74 post 0.32 | GPU 4 378 MB 3% | RAM 58 .68 GB 47% 1024x1024 - 23m 59.26s @ 28 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 28| Size: 1024x1024 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-I1-Dev   Time: 23m 59.26s | total 1529.78 pipeline 1389.13 move 34.36 prompt 34.23 offload 22.57 te 21.92 decode 15.51 preview 11.74 gc 0.53 post 0.26 | GPU 4 510 MB 4% | RAM 58 .7 GB 47% HiDream I1 Fast🪪  CFG (0-2)   1024x1024 3m 39.03s @ 4 STEP 1024x1024 20m 16.60s @ 24 STEP   FlowMatch LCM  Scheduler   generation progress + preview   ⭐⭐⭐⭐⭐ 1024x1024 - 3m 39.03s @ 4 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 4| Size: 1024x1024 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-I1-Fast   Time: 3m 39.03s | total 249.11 pipeline 194.59 offload 18.99 decode 14.74 move 9.39 prompt 9.24 preview 1.85 gc 0.57 post 0.32 | GPU 4 440 MB 3% | RAM 58 .61 GB 47% 1024x1024 - 20m 16.60s @ 24 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 24| Size: 1024x1024 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-I1-Fast   Time: 20m 16.60s | total 1283.51 pipeline 1178.55 move 22.60 prompt 22.47 te 20.27 decode 15.17 offload 12.25 preview 11.87 gc 0.53 post 0.27 | GPU 4 502 MB 4% | RAM 58 .63 GB 47% HiDream E1 Full 🪪 768x768 generates 1024x1024 1024x1024 7m 33.98s @ 8 STEP 1024x1024 10m 25.10s @ 12 STEP 1024x1024 13m 40.41s @ 16 STEP 1024x1024 26m 55.45s @ 32 STEP   UniPC  Multistep Scheduler   generation progress + preview   ⭐⭐⭐⭐   1024x1024 - 13m 40.41 s @ 16 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-E1-Full   Time: 13m 40.41s | total 860.48 pipeline 782.43 move 21.89 prompt 19.66 decode 15.80 offload 12.73 preview 7.64 gc 0.52 post 0.27 | GPU 4 500 MB 4% | RAM 58 .7 GB 47% 1024x1024 - 26m 55.45s @ 32 STEPS Parameters: Pipeline: HiDreamImagePipeline| Steps: 32| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: HiDream-E1-Full   Time: 26m 55.45s | total 1665.14 pipeline 1578.31 move 20.86 prompt 18.67 preview 17.96 decode 16.01 offload 13.01 gc 0.54 post 0.27 | GPU 4 564 MB 4% | RAM 58 .64 GB 47% Qwen-Image With true_cfg=0 512x512 - 2m 0.22s @ 20 steps 768x768 - 5m 23.78s   @ 20 steps 1024x1024 -  9m 18.46s @ 16 steps 1024x1024 - 11m 34.66s @ 20 steps 1024x1024 - 18m 46.91s  @ 32 steps 1024x1536 - 21m 59.50s @ 20 steps 1600x1600 - 49m 24.79s @ 20 steps   With true_cfg=4 1024x1024 - 18m 46.05s @ 16 steps 1024x1024 - 37m 42.68s @ 32 steps       FlowMatch Euler Discret eScheduler   progress without preview   ⭐⭐⭐⭐   created 2025-08-05 update 2025-08-08 1024x1024 - 9m 18.46s @ 16 STEPS   Parameters: Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 1d37a25| Pipeline: QwenImagePipeline| Operations: txt2img| Model: Qwen-Image   Time: 9m 18.46s | total 559.47 pipeline 558.44 te 0.98 | GPU 61 110 MB 48% | RAM 3.1 GB 2% 1024x1024 - 18m 46.05s @ 16 STEPS Parameters: Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| CFG true: 4| App: SD.Next| Version: 9ef6baf| Pipeline: QwenImagePipeline| Operations: txt2img| Model: Qwen-Image   Time: 18m 46.05s | total 1132.26 pipeline 1125.98 te 4.41 vae 1.79 | GPU 60 262 MB 47% | RAM 3.13 GB 2% 1024x1024 -  18m 46.91s  @ 32 STEPS   Parameters: Steps: 32| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 1d37a25| Pipeline: QwenImagePipeline| Operations: txt2img| Model: Qwen-Image   Time: 18m 46.91s | total 1127.93 pipeline 1126.88 te 0.98 | GPU 61 110 MB 48% | RAM 3.1 GB 2% 1024x1024 - 37m 42.68s @ 16 STEPS Parameters: Steps: 32| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| CFG true: 4 | App: SD.Next| Version: 9ef6baf| Pipeline: QwenImagePipeline| Operations: txt2img| Model: Qwen-Image   Time: 37m 42.68s | total 2264.61 pipeline 2262.65 te 1.89 | GPU 60264 MB 47% | RAM 3.12 GB 2% Cosmos-Predict2 T2I 14B 🪪   256x256 - 2m 31.30s @ 20 STEPS 512x512 - 5m 54.52s @ 20 STEPS 768x768 - 10m 23.35s @ 16 STEPS 768x768 - 12m 41.39s @ 20 STEPS 768x768 - 20m 9.11s @ 32 STEPS 768x1024 - hangs     FlowMatch Euler DiscreteScheduler   progress without preview   "diffusers_offload_mode": "model"   ⭐⭐⭐⭐ 768x768- 10m 23.35s @ 16 STEPS Parameters: Steps: 16| Size: 768x768 | Seed: 1460879190| CFG scale: 6 | App: SD.Next| Version: af58803| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image   Time: 10m 23.35s | total 643.47 pipeline 623.02 te 11.87 vae 8.56 post 0.32 gc 0.31 | GPU 27 938 MB 22% | RAM 38 .86 GB 31% 768x768- 20m 9.11s @ 32 STEPS Parameters: Steps: 32| Size: 768x768 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: af58803| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image   Time: 20m 9.11s | total 1224.37 pipeline 1208.85 vae 7.85 te 7.65 post 0.26 | GPU 27938 MB 22% | RAM 38.88 GB 31% shuttle-3.1-aesthetic   512x512 - 6m 11.47s @ 50 STEPS 768x768 - 4m 35.14s @ 20 STEPS 768x1024 - 6m 3.73s @ 20 STEPS 1024x1024 - 8m 5.95s @20 STEPS 1024x1280 - 4m 31.69s @ 8 STEPS 1024x1536 - 3m 58.29s @ 6 STEPS 1024x1536 - 20m 29.93s @ 32 STEPS 1280x1600 - 13m 44.74s @ 8 STEPS 1536x2048 - 12m 45.33s @ 6 STEPS     FlowMatch Euler  DiscreteScheduler   generation progress + preview   ⭐⭐⭐⭐⭐   2025-07-30    1024x1536 - 3m 58.29s @ 6 STEPS Parameters: Steps: 6| Size: 1024x1536 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: FluxPipeline| Operations: txt2img| Model: shuttle-3.1-aesthetic   Time: 3m 58.29s | total 244.61 pipeline 229.67 decode 8.30 preview 6.31 gc 0.55 post 0.30 | GPU 37 402 MB 29% | RAM 3 .21 GB 3%  1024x1536 - 20m 29.93s @ 32 STEPS Parameters: Steps: 32| Size: 1024x1536 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: FluxPipeline| Operations: txt2img| Model: shuttle-3.1-aesthetic   Time: 20m 29.93s | total 1270.02 pipeline 1221.19 preview 36.27 decode 8.43 prompt 1.92 te 1.89 gc 0.55 post 0.31 | GPU 37 066 MB 29% | RAM 3 .22 GB 3% FLUX.1-dev 🪪   64x64 - 58.97s  @ 16 STEPS 128x128 - 1m 0.43s @ 16 STEPS 256x256 - 1m 7.51s @ 16 STEPS 512x512 - 2m 0.41s @ 16 STEPS 768x768 -  3m 41.69s @ 16 STEPS 768x1024 - 4m 54.68s @ 16 STEPS 768x1024 - 14m 56.94s @ 40 STEPS 1024x1536 - 5m 9.01s @ 8 STEPS 1024x1536 - 20m 13.60s @ 32 steps   FlowMatch Euler  DiscreteScheduler   generation progress + preview    ⭐⭐⭐⭐   Updated 2025-07-30  1024x1536 - 5m 9.01s @ 8 STEPS Parameters: Steps: 8| Size: 1024x1536 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: FluxPipeline| Operations: txt2img| Model: FLUX.1-dev   Time: 5m 9.01s | total 321.00 pipeline 300.51 decode 8.20 preview 8.10 prompt 1.96 te 1.94 gc 0.52 post 0.30 | GPU 37 048 MB 29% | RAM 3 .24 GB 3%  1024x1536 - 20m 13.60s @ 32 STEPS Parameters: Steps: 32| Size: 1024x1536 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: FluxPipeline| Operations: txt2img| Model: FLUX.1-dev   Time: 20m 13.60s | total 1217.57 pipeline 1204.89 decode 8.40 prompt 1.91 te 1.89 gc 0.54 post 0.31 | GPU 37 048 MB 29% | RAM 3 .23 GB 3%     FLUX.1-Krea-dev 🪪 512x512 - 7m 27.95s @ 20 STEPS 768x768 -   2m 24.02s @ 8 STEPS 768x1024 - 2m 23.60s @ 8 STEPS 1024x1024 - 6m 22.68s @ 16 STEPS  1024x1024 - 12m 35.18s @ 32steps  1024x1536 - hangs   FlowMatch Euler DiscreteScheduler   ⭐⭐⭐⭐   Added 2025-08-01   Parameters: Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 42706fb| Pipeline: FluxPipeline| Operations: txt2img| Model: FLUX.1-Krea-dev   Time: 6m 22.68s | total 471.62 pipeline 376.23 preview 84.90 decode 6.43 prompt 1.90 te 1.88 gc 0.25 | GPU 34 688 MB 27% | RAM 3.39 GB 3%   Parameters: Steps: 32| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 42706fb| Pipeline: FluxPipeline| Operations: txt2img| Model: FLUX.1-Krea-dev   Time: 12m 35.18s | total 1494.92 pipeline 748.48 preview 731.88 decode 6.66 prompt 3.78 te 3.76 gc 0.31 | GPU 35 284 MB 27% | RAM 2.97 GB 2% FLUX.1-schnell 🪪   768x768 - ok 768x1024 - 1m 24.86s @ 4 STEPS 768x1024 - 7m 45.92s  @ 24 STEPS 1024x1024 - hangs   FlowMatch Euler DiscreteScheduler   ⭐⭐⭐⭐ 768x1024 - 1m 24.86s @ 4 STEPS Parameters: Pipeline: FluxPipeline| Steps: 4| Size: 768x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 251c919| Operations: txt2img| Model: FLUX.1-schnell   Time:  1m 24.86s | total 127.77 pipeline 74.92 preview 36.64 decode 9.63 offload 6.53 post 0.29 gc 0.27 | GPU 33 784 MB 26% | RAM 25 .14 GB 20% 768x1024 - 7m 45.92s @ 24 STEPS Parameters: Pipeline: FluxPipeline| Steps: 24| Size: 768x1024| Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 251c919| Operations: txt2img| Model: FLUX.1-schnell   Time: 7m 45.92s | total 903.61 pipeline 438.91 preview 400.19 move 14.96 prompt 14.96 te 14.91 decode 11.74 offload 7.80 post 0.30 gc 0.28 | GPU 33 614 MB 26% | RAM 25 .17 GB 20% AuraFlow v0.3 512x512 -  2m 4.61s @ STEPS 16 768x768 - 4m 37.98s @ STEPS 16 768x768 - 14m 17.12s @ STEPS 50 768x768 - 29m 46.26s @ STEPS 100 1024x1024 - hangs FlowMatch Euler DiscreteScheduler   generation progress + preview   ⭐      768x768- 14m 17.12s @ 50 STEPS Parameters: Steps: 50| Size: 768x768 | Seed: 1460879190| CFG scale: 3.5 | App: SD.Next| Version: b61118f| Pipeline: AuraFlowPipeline| Operations: txt2img| Model: AuraFlow-v0.3   Time: 14m 17.12s | total 1163.36 pipeline 853.70 preview 306.23 decode 3.15 gc 0.47 post 0.25 | GPU 17 638 MB 14% | RAM 2 .75 GB 2% 768x768- 29m 46.26s @ 100 STEPS Parameters: Steps: 100| Size: 768x768| Seed: 1460879190| CFG scale: 3.5| App: SD.Next| Version: b61118f| Pipeline: AuraFlowPipeline| Operations: txt2img| Model: AuraFlow-v0.3   Time: 29m 46.26s | total 3499.63 pipeline 1782.79 preview 1713.40 decode 3.13 gc 0.56 post 0.32 | GPU 17638 MB 14% | RAM 2.76 GB 2% Wan2.2-TI2V-5B 256x256 - 1m 26.51s @ STEPS 50 512x512 - 47.81s  @ STEPS 20 512x512  - 1m 48.58s  @ STEPS 50 768x768 - 3m 50.42s  @ STEPS 50 704x1280 - 2m 17.40s @ STEPS 20 704x1280 - 5m 29.53s @ STEPS 50 1024x1024 - 2m 28.14s  @ STEPS 20   UniPC  Multistep Scheduler   progress without preview   ⭐⭐         Parameters: Steps: 20| Size: 704x1280 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-TI2V-5B-Diffusers   Time: 2m 17.40s | total 140.87 pipeline 137.10 te 2.03 vae 1.68 post 0.29 gc 0.27 | GPU 25 558 MB 20% | RAM 3.09 GB 2% Parameters: Steps: 50| Size: 704x1280 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-TI2V-5B-Diffusers   Time: 5m 29.53s | total 332.80 pipeline 329.25 te 2.02 vae 1.47 post 0.28 gc 0.25 | GPU 25 558 MB 20% | RAM 3.09 GB 2% OmniGen2   512x512 - 2m 12.11s @ 20STEPS 768x768 - 5m 39.35s @ 20STEPS 1024x1024 - 9m 33.83s @ 16 STEPS 1024x1024 -  12m 35.39s @ 20STEPS 1024x1024 - 30m 29.41s @ 50STEPS 1280x1280 - 9m 30.35s @ 8STEPS 1280x1280 - 14m 26.83s @ 12STEPS 1280x1280 - 23m 49.50s @ 20STEPS 1280x1280 - 60m 14.48s @ 50STEPS 1600x1600 - 50m 50.81s @ 20STEPS 2048x2048 - hangs   FlowMatch Euler DiscreteScheduler   generation progress not shown   ⭐⭐⭐⭐ 1024x1024 - 9m 33.83s @ 16 STEPS Parameters: Pipeline: OmniGen2Pipeline| Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 54bdf01| Operations: txt2img| Model: OmniGen2   Time: 9m 33.83s | total 573.61 pipeline 573.55 post 0.26 | GPU 18 054 MB 14% | RAM 2 .71 GB 2% 1024x1024 - 30m 29.41s @ 50 STEPS Parameters: Pipeline: OmniGen2Pipeline| Steps: 50| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 54bdf01| Operations: txt2img| Model: OmniGen2   Time: 30m 29.41s | total 1829.18 pipeline 1829.12 post 0.27 | GPU 18 054 MB 14% | RAM 2 .72 GB 2% CogView 4 256x256 - 1m 11.07s @ 16 STEPS 512x512 - 2m 44.92s @ 16 STEPS 768x768 -  6m 44.86s @ 16 STEPS 1024x1024 - 14m 9.97s @ 16 STEPS 1024x1024 - 43m 56.72s @ 50 STEPS 1280x1280 - hangs     FlowMatch Euler DiscreteScheduler   progress without preview   ⭐⭐⭐⭐ 1024x1024 - 14m 9.97s @ 16 STEPS   Parameters: Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 3.5 | App: SD.Next| Version: fe61b5e| Pipeline: CogView4Pipeline| Operations: txt2img| Model: CogView4-6B   Time: 14m 9.97s | total 857.86 pipeline 825.42 decode 16.59 move 15.57 gc 0.53 post 0.29 | GPU 7 926 MB 6% | RAM 31 .98 GB 26%   1024x1024 - 43m 56.72s @ 50 STEPS Parameters: Steps: 50| Size: 1024x1024 | Seed: 1460879190| CFG scale: 3.5 | App: SD.Next| Version: fe61b5e| Pipeline: CogView4Pipeline| Operations: txt2img| Model: CogView4-6B   Time: 43m 56.72s | total 2644.35 pipeline 2612.41 decode 16.72 move 14.90 gc 0.53 post 0.26 | GPU 7926 MB 6% | RAM 31.99 GB 26% Kandinsky 3   768x768 - 1m 5.40s @ 20STEPS 768x1024 - 45.45s @ 8 STEP  768x1024 - 1m 9.35s @ 20 STEP 768x1024 - 2m 35.93s @ 64 STEP 1024x1024 - hangs   DDPM Scheduler   progress without preview   ⭐⭐   768x1024 - 1m 9.35s @ 20 STEPS   Parameters: Steps: 20| Size: 768x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: fe61b5e| Pipeline: Kandinsky3Pipeline| Operations: txt2img| Model: kandinsky-3   Time: 1m 9.35s | total 73.34 pipeline 64.79 offload 4.26 decode 4.24 post 0.29 gc 0.27 | GPU 29 500 MB 23% | RAM 18 .93 GB 15%   768x1024 - 2m 35.93s  @ 64 STEPS   Parameters: Steps: 64| Size: 768x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: fe61b5e| Pipeline: Kandinsky3Pipeline| Operations: txt2img| Model: kandinsky-3   Time: 2m 35.93s | total 159.72 pipeline 151.59 offload 4.05 decode 4.03 post 0.29 gc 0.27 | GPU 29 482 MB 23% | RAM 18 .93 GB 15% Wan2.1-T2V-1.3B 256x256 - 23.16s @ 16 STEPS 512x512 - 54.41s @ 20STEPS 768x768 - 3m 43.11s @ 40STEPS 1024x1024 - 7m 35.17s @ 40STEPS 1280x1280 - 12m 42.76s @ 40STEPS   (resolution to be divisible by 16)     UniPC Multistep Scheduler   generation progress + preview   ⭐ 512x512 - 54.41s  @ 20 STEPS Parameters: Pipeline: WanPipeline| Steps: 20| Size: 512x512 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: Wan2.1-T2V-1.3B-Diffusers   Time: 54.41s | total 96.96 pipeline 54.15 preview 36.26 gc 2.09 te 1.98 offload 1.88 vae 0.80 | GPU 15 416 MB 12% | RAM 3 .16 GB 3% 1280x1280- 12m 42.76s @ 40 STEPS Parameters: Pipeline: WanPipeline| Steps: 40| Size: 1280x1280 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 3c66c35| Operations: txt2img| Model: Wan2.1-T2V-1.3B-Diffusers Time: 12m 42.76s | total 1282.37 pipeline 762.43 preview 511.77 vae 2.40 gc 2.11 te 1.98 offload 1.88 post 0.30 | GPU 21 686 MB 17% | RAM 3 .14 GB 3% Stable Diffusion 3.5 L 🪪   512x512 - 4m 18.84s @ 32 STEPS 512x768 - 3m 25.31s @ 16 STEPS 512x768 - 11m 9.34s @ 50 STEPS 768x768 -  @  1024x1024 - 14m 15.60s @ 16 steps 1024x1024 - 28m 56.13s @ 32 steps 1024x1536 - 29m 24.32s @ 16 steps 1024x1536 - 58m 47.43s @ 32 steps     FlowMatch Euler DiscreteScheduler   generation progress + preview   ⭐⭐⭐⭐   update 2025-07-30         Parameters : Steps: 16| Size: 1024x1024 | Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: 12d7246| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large   Time: 14m 15.60s | total 921.29 pipeline 848.32 preview 61.93 decode 6.98 prompt 3.64 gc 0.65 post 0.30 | GPU 29 320 MB 23% | RAM 3.11 GB 2%   Parameters: Steps: 32| Size: 1024x1024 | Sampler: DPM++ 2M SDE| Seed: 1460879190| CFG scale: 6| App: SD.Next| Version: b56d508| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large   Time: 28m 56.13s | total 1743.07 pipeline 1729.54 preview 6.68 decode 6.57 gc 0.26 | GPU 29320 MB 23% | RAM 3.0 GB 2% Chroma 36 512x512 - 4m 59.14s @ 20 STEPS 768x768 -   7m 4.50s @ 16 STEPS 768x768 - 21m 56.62s @ 50 STEPS 768X1024 - 12m 0.43s @ 20 steps 1024x1024 -  hangs   progress with preview   FlowMatch Euler DiscreteScheduler   ⭐⭐⭐   only some CFG/resolutions is ok 768x768 - 7m 4.50s @ 16 STEPS Parameters: Steps: 16| Size: 768x768 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: fe61b5e| Pipeline: ChromaPipeline| Operations: txt2img| Model: Chroma   Time: 7m 4.50s | total 627.03 pipeline 416.87 preview 197.83 decode 7.35 offload 4.69 gc 0.49 post 0.26 | GPU 11 132 MB 9% | RAM 19 .33 GB 15% 768x768 - 21m 56.62 s @ 50 STEPS   Parameters: Steps: 50| Size: 768x768 | Seed: 1460879190| CFG scale: 2 | App: SD.Next| Version: fe61b5e| Pipeline: ChromaPipeline| Operations: txt2img| Model: Chroma   Time: 21m 56.62s | total 1945.92 pipeline 1308.96 preview 624.37 decode 7.38 offload 4.90 gc 0.50 post 0.27 | GPU 11 154 MB 9% | RAM 19 .62 GB 16%     chroma-unlocked-v48-detail-calibrated 512x768 - 4m 51.82s  @ 16 STEPS 768x768 -   7m 6.56s @ 16 STEPS 768x768 - 14m 11.86s @ 32 STEPS 768x1024 -  9m 30.73s @ 16 STEPS 1024x1024- 13m 3.35s @ 16 STEPS   FlowMatch Euler DiscreteScheduler   ⭐⭐⭐   Added 2025-08-01   Parameters: Steps: 16| Size: 768x768 | Seed: 1460879190| CFG scale: 2| App: SD.Next| Version: 42706fb| Pipeline: ChromaPipeline| Operations: txt2img| Model: chroma-unlocked-v48-detail-calibrated   Time: 7m 6.56s | total 563.91 pipeline 423.91 preview 137.06 decode 2.61 gc 0.28 | GPU 28 122 MB 22% | RAM 2.94 GB 2%   Parameters: Steps: 32| Size: 768x768 | Seed: 1460879190| CFG scale: 2| App: SD.Next| Version: 42706fb| Pipeline: ChromaPipeline| Operations: txt2img| Model: chroma-unlocked-v48-detail-calibrated   Time: 14m 11.86s | total 1162.50 pipeline 849.22 preview 302.91 prompt 3.72 te 3.70 decode 2.62 gc 0.30 | GPU 28 134 MB 22% | RAM 2.95 GB 2% SD.Next Config { "samples_filename_pattern": "[seq]-[date]-[model_name]-[height]x[width]-Seed[seed]-CFG[cfg]-STEP[steps]", "diffusers_offload_mode": "none", "diffusers_to_gpu": true, "device_map": "gpu" } Dockerfile variables # intel specific environment variables ENV IPEX_SDPA_SLICE_TRIGGER_RATE=1 ENV IPEX_ATTENTION_SLICE_RATE=0.5 ENV IPEX_FORCE_ATTENTION_SLICE=1 ENV IPEXRUN=true SD.Next on Linux HW and OS level articles SD.Next openvino docker compose Install vi Dockerfile vi docker-compose.yml docker compose up -d docker logs sdnext-openvino --follow #docker compose down Dockerfile example without proxy on branch master # SD.Next OpenVINO Dockerfile # docs: # base image FROM ubuntu:noble # metadata LABEL org.opencontainers.image.vendor="SD.Next" LABEL org.opencontainers.image.authors="disty0" LABEL org.opencontainers.image.url="https://github.com/vladmandic/sdnext/" LABEL org.opencontainers.image.documentation="https://github.com/vladmandic/sdnext/wiki/Docker" LABEL org.opencontainers.image.source="https://github.com/vladmandic/sdnext/" LABEL org.opencontainers.image.licenses="AGPL-3.0" LABEL org.opencontainers.image.title="SD.Next OpenVINO" LABEL org.opencontainers.image.description="SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models" LABEL org.opencontainers.image.base.name="https://hub.docker.com/_/ubuntu:noble" LABEL org.opencontainers.image.version="latest" # essentials RUN apt-get update && \ apt-get install -y --no-install-recommends --fix-missing \ software-properties-common \ build-essential \ ca-certificates \ wget \ gpg \ git # intel compute runtime RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg RUN echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu noble client" | tee /etc/apt/sources.list.d/intel-gpu-noble.list RUN apt-get update RUN apt-get install -y --no-install-recommends --fix-missing \ intel-opencl-icd \ libze-intel-gpu1 \ libze1 # required by pytorch / ipex RUN apt-get install -y --no-install-recommends --fix-missing \ libgl1 \ libglib2.0-0 \ libgomp1 # python3.12 RUN apt-get install -y --no-install-recommends --fix-missing \ python3 \ python3-dev \ python3-venv \ python3-pip # cleanup RUN /usr/sbin/ldconfig RUN apt-get clean && rm -rf /var/lib/apt/lists/* # stop pip and uv from caching ENV PIP_NO_CACHE_DIR=true ENV UV_NO_CACHE=true # set paths to use with sdnext ENV SD_DOCKER=true ENV SD_DATADIR="/mnt/data" ENV SD_MODELSDIR="/mnt/models" ENV venv_dir="/mnt/python/venv" # paths used by sdnext can be a volume if necessary #VOLUME [ "/app" ] #VOLUME [ "/mnt/data" ] #VOLUME [ "/mnt/models" ] #VOLUME [ "/mnt/python" ] #VOLUME [ "/root/.cache/huggingface" ] # git clone and run sdnext RUN echo '#!/bin/bash\ngit status || git clone https://github.com/vladmandic/sdnext.git .\n/app/webui.sh "$@"' | tee /bin/startup.sh RUN chmod 755 /bin/startup.sh # actually run sdnext WORKDIR /app ENTRYPOINT [ "startup.sh", "-f", "--use-openvino", "--uv", "--listen", "--insecure", "--update", "--debug", "--api-log", "--log", "sdnext.log" ] # expose port EXPOSE 7860 # healthcheck function # HEALTHCHECK --interval=60s --timeout=10s --start-period=60s --retries=3 CMD curl --fail http://localhost:7860/sdapi/v1/status || exit 1 # stop signal STOPSIGNAL SIGINT example with proxy  (to be removed or replaced to one is working) and on Developer branch # SD.Next OpenVINO Dockerfile # docs: # base image FROM ubuntu:noble # metadata LABEL org.opencontainers.image.vendor="SD.Next" LABEL org.opencontainers.image.authors="disty0" LABEL org.opencontainers.image.url="https://github.com/vladmandic/sdnext/" LABEL org.opencontainers.image.documentation="https://github.com/vladmandic/sdnext/wiki/Docker" LABEL org.opencontainers.image.source="https://github.com/vladmandic/sdnext/" LABEL org.opencontainers.image.licenses="AGPL-3.0" LABEL org.opencontainers.image.title="SD.Next OpenVINO" LABEL org.opencontainers.image.description="SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models" LABEL org.opencontainers.image.base.name="https://hub.docker.com/_/ubuntu:noble" LABEL org.opencontainers.image.version="latest" # essentials RUN apt-get update && \ apt-get install -y --no-install-recommends --fix-missing \ software-properties-common \ build-essential \ ca-certificates \ wget \ gpg \ git # intel compute runtime RUN https_proxy=http://proxy.example.com:18080/ wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg RUN echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu noble client" | tee /etc/apt/sources.list.d/intel-gpu-noble.list RUN https_proxy=http://proxy.example.com:18080/ apt-get update RUN https_proxy=http://proxy.example.com:18080/ apt-get install -y --no-install-recommends --fix-missing \ intel-opencl-icd \ libze-intel-gpu1 \ libze1 # required by pytorch / ipex RUN https_proxy=http://proxy.example.com:18080/ apt-get install -y --no-install-recommends --fix-missing \ libgl1 \ libglib2.0-0 \ libgomp1 # python3.12 RUN https_proxy=http://proxy.example.com:18080/ apt-get install -y --no-install-recommends --fix-missing \ python3 \ python3-dev \ python3-venv \ python3-pip # cleanup RUN /usr/sbin/ldconfig RUN https_proxy=http://proxy.example.com:18080/ apt-get clean && rm -rf /var/lib/apt/lists/* # stop pip and uv from caching ENV PIP_NO_CACHE_DIR=true ENV UV_NO_CACHE=true # set paths to use with sdnext ENV SD_DOCKER=true ENV SD_DATADIR="/mnt/data" ENV SD_MODELSDIR="/mnt/models" ENV venv_dir="/mnt/python/venv" # paths used by sdnext can be a volume if necessary #VOLUME [ "/app" ] #VOLUME [ "/mnt/data" ] #VOLUME [ "/mnt/models" ] #VOLUME [ "/mnt/python" ] #VOLUME [ "/root/.cache/huggingface" ] # git clone and run sdnext RUN echo '#!/bin/bash\ngit status || git clone https://github.com/vladmandic/sdnext.git -b dev .\n/app/webui.sh "$@"' | tee /bin/startup.sh RUN chmod 755 /bin/startup.sh # actually run sdnext WORKDIR /app ENTRYPOINT [ "startup.sh", "-f", "--use-openvino", "--uv", "--listen", "--insecure", "--server-name sdnext.example.com", "--update", "--debug", "--api-log", "--log", "sdnext.log" ] # expose port EXPOSE 7860 # healthcheck function # HEALTHCHECK --interval=60s --timeout=10s --start-period=60s --retries=3 CMD curl --fail http://localhost:7860/sdapi/v1/status || exit 1 # stop signal STOPSIGNAL SIGINT docker-compose.yml services: sdnext-openvino: build: dockerfile: Dockerfile image: sdnext-openvino:latest container_name: sdnext-openvino restart: unless-stopped devices: - /dev/dri:/dev/dri # if Intel CPU got NPU # - /dev/accel:/dev/accel # if need proxy for internet access # environment: # - https_proxy=http://proxy.example.com:18080/ ports: - 7860:7860 volumes: - /docker/sdnext/app-volume:/app - /docker/sdnext/mnt-volume:/mnt - /docker/sdnext/huggingface-volume:/root/.cache/huggingface - /dev/shm:/dev/shm Application screenshots Post-install fixes add some python libraries That is not something you beed to do, but in rare case of it kind of missing in requirements.txt # In case of some dependencies is missing (like sentencepiece in Dev branch at 2025-07-14) # docker exec -it sdnext-openvino bash python3 -m venv /mnt/python/venv /mnt/python/venv/bin/pip3 install sentencepiece Fix access to gated repo  (in case access is granted and token available) Access error to gated repo sdnext-ipex | 20:01:16-163840 ERROR Load model: repo="black-forest-labs/FLUX.1-Kontext-dev" sdnext-ipex | login=True 401 Client Error. (Request ID: sdnext-ipex | Root=1-6875620c-4ddbac246caa80376513448a;bea8cc0a-fb48- sdnext-ipex | 452c-a738-debd0038cb43) sdnext-ipex | sdnext-ipex | Cannot access gated repo for url sdnext-ipex | https://huggingface.co/api/models/black-forest-labs/FLU sdnext-ipex | X.1-Kontext-dev/auth-check. sdnext-ipex | Access to model black-forest-labs/FLUX.1-Kontext-dev is sdnext-ipex | restricted. You must have access to it and be sdnext-ipex | authenticated to access it. Please log in. login to huggingface manually # docker exec -it sdnext-openvino bash # export venv_dir=/mnt/python/venv/ source "${venv_dir}"/bin/activate git config --global credential.helper store /mnt/python/venv/bin/huggingface-cli login # docker restart sdnext-openvino # Download or use the model after a restart System info app: sdnext.git updated: 2025-07-14 hash: 79d0fb81 url: https://github.com/vladmandic/sdnext.git/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-29-generic python: 3.12.3 Torch: 2.7.1+cpu device: Intel(R) Arc(TM) Graphics (iGPU) openvino: 2025.2.0 ram: free:95.64 used:29.69 total:125.33 gpu: total:125.33 xformers: diffusers: 0.35.0.dev0 transformers: 4.53.2 active: cpu dtype: torch.float32 vae: torch.float32 unet: torch.float32 base: Diffusers/nvidia/Cosmos-Predict2-2B-Text2Image [acdb5fde99] refiner: none vae: none te: none unet: none app: sdnext.git updated: 2025-08-02 hash: e90ac68d url: https://github.com/vladmandic/sdnext.git/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-27-generic python: 3.12.3 Torch: 2.7.1+cpu device: Intel(R) Iris(R) Xe Graphics (iGPU) openvino: 2025.2.0 ram: free:59.83 used:34.14 total:93.97 gpu: total:93.97 xformers: diffusers: 0.35.0.dev0 transformers: 4.54.1 active: cpu dtype: torch.float32 vae: torch.float32 unet: torch.float32 base: Diffusers/Kwai-Kolors/Kolors-diffusers [7e091c7519] refiner: none vae: none te: none unet: none openvino (float32) note Memory consumption in openvino (float32) significantly higher than ipex (bfloat16) so it may cause OOM on same HW with same models than ipex is OK with (Flux.1 dev kontext example, openvino/gpu iGPU Intel Arc) Reinstall Clean reinstall Remove all sdnext related date and have clean install docker compose down --rmi local docker system prune --all --force rm -Rf /docker/sdnext/* docker compose up -d docker compose logs --follow Preserve downloaded models save the models and output images docker compose down --rmi local docker system prune --all --force rm -Rf /docker/sdnext/app-volume/ /docker/sdnext/python-volume/ /docker/sdnext/mnt-volume/python/ docker compose up -d docker compose logs --follow Config example for iGPU cat /docker/sdnext/mnt-volume/data/config.json { "no_half": false, "openvino_devices": [ "GPU" ], "samples_filename_pattern": "[seq]-[date]-[model_name]-[height]x[width]-Seed[seed]-CFG[cfg]-STEP[steps]", } Example image generation on iGPU SD.Next OpenVINO Intel Xe iGPU on Intel core i7-1355U + 96GB DDR5 (35/55W power limits) float32 Kolors, Cosmos, Flux, Chroma not work Model resolution time (at 20 STEPS) dreamshaper_8  (SD1.5) 512x512 55.17s dreamshaper_8  (SD1.5) 768x768 2m 27.75s  cyberrealistic_v90 (SD1.5) 768x768 2m 20.86s Stable Diffusion 2.1 (SD2.1) 512x512 55.17s Stable Diffusion 2.1 (SD2.1) 768x768 2m 13.59s  Stable Diffusion 2.1 (SD2.1) 1024x1024 4m 40.88s  TempestV0.1-Artistic (SDXL) 512x512 1m 58.98s TempestV0.1-Artistic (SDXL) 768x768 3m 23.79s TempestV0.1-Artistic (SDXL) 1024x1024 5m 24.46s TempestV0.1-Artistic (SDXL) 1280x1280 8m 25.92s cyberillustrious_v60Alt (SDXL) 1024x1024 5m 13.36s cyberrealisticXL_v60  (SDXL) 1024x1024 5m 28.79s cyberrealisticPony_v127Alt  1024x1024 5m 31.72s  PixArt-Sigma-XL-2-512-MS 512x512 1m 30.74s PixArt-Sigma-XL-2-1024-MS  1024x1024 6m 26.39s Stable Diffusion 3.5 medium (SD3.5) 512x512 2m 47.35s  Stable Diffusion 3.5 medium (SD3.5) 768x768 4m 40.50s Stable Diffusion 3.5 medium (SD3.5) 1024x1024 8m 52.75s Stable Diffusion 3.5 large (SD3.5) 512x512 7m 7.58s  Stable Diffusion 3.5 medium Prompt: car Parameters: Steps: 20| Size: 768x768| Seed: 116815525| CFG scale: 6| App: SD.Next| Version: c0b8c4e| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-medium Time: 4m 40.50s | total 313.18 pipeline 251.68 preview 32.68 decode 28.80 | RAM 33.87 GB 36% PixArt-Sigma-XL-2-512-MS Prompt: car Parameters: Steps: 20| Size: 512x512| Seed: 2113650425| CFG scale: 6| App: SD.Next| Version: a9c65c0| Pipeline: PixArtSigmaPipeline| Operations: txt2img| Model: PixArt-Sigma-XL-2-512-MS Time: 1m 30.74s | total 97.25 pipeline 76.88 decode 13.60 preview 6.51 | RAM 22.46 GB 24% SD1.5 Prompt: car Parameters: Steps: 20| Size: 768x768| Seed: 4104685571| CFG scale: 6| App: SD.Next| Version: a9c65c0| Pipeline: StableDiffusionPipeline| Operations: txt2img| Model: dreamshaper_8| Model hash: 879db523c3 Time: 2m 29.85s | total 184.46 pipeline 118.10 preview 34.60 decode 31.73 | RAM 6.66 GB 7% Config example for CPU { "no_half": false, "openvino_devices": [ "CPU" ], "samples_filename_pattern": "[seq]-[date]-[model_name]-[height]x[width]-Seed[seed]-CFG[cfg]-STEP[steps]", "device_map": "cpu", "diffusers_generator_device": "CPU" } Example image generation on CPU SD.Next openvino CPU on Intel core i7-1355U + 96GB DDR5 (25/55W power limits) float32 Model resolution time (at 20 STEPS) Kolors 1280x1280 34m 51.83s FLUX.1-Krea-dev 512x512 37m 28.47s  (96GB RAM + 42GB swap) FLUX.1-Krea-dev 768x768 96GB RAM + 64GB swap is not enough dreamshaper_8  (SD1.5) 512x512 2m 58.45s dreamshaper_8  (SD1.5) 768x768 7m 53.50s dreamshaper_8  (SD1.5) 1024x1024 18m 10.01s TempestV0.1-Artistic (SDXL) 512x512 5m 16.53s TempestV0.1-Artistic (SDXL) 768x768 11m 0.86s TempestV0.1-Artistic (SDXL) 1024x1024 20m 41.39s TempestV0.1-Artistic (SDXL) 1280x1280 34m 5.18s Kolors Prompt: car Parameters: Steps: 20| Size: 1280x1280 | Seed: 1747916893| CFG scale: 6| App:  SD.Next | Version: e90ac68| Pipeline: KolorsPipeline | Operations: txt2img| Model: Kolors -diffusers Execution: Time: 34m 51.83s | total 2091.82 pipeline 1960.52 decode 131.16 | RAM 90.33 GB 96% Prompt: car Parameters: Steps: 20| Size: 1024x1024 | Seed: 3229942612| CFG scale: 6| App:  SD.Next | Version: e90ac68| Pipeline: KolorsPipeline | Operations: txt2img| Model: Kolors -diffusers Flux.1 Krea 93GB of RAM + ~ 46GB of swap Prompt: car Parameters: Steps: 20| Size: 512x512| Seed: 1747916893| CFG scale: 6| App: SD.Next | Version: e90ac68| Pipeline: FluxPipeline | Operations: txt2img| Model: FLUX.1-Krea-dev Execution: Time: 37m 28.47s | total 2292.37 pipeline 2224.84 decode 23.42 prompt 19.16  te 19.13 preview 5.59 | RAM 91.66 GB 98% Use nginx for SD.Next install nginx # SSL certificate #vi /etc/ssl/private/wildcard.pem #chmod 600 /etc/ssl/private/wildcard.pem #vi /etc/ssl/certs/wildcard.ca # Nginx sudo apt install -y nginx vi /etc/nginx/conf.d/sdnext.conf systemctl restart nginx systemctl status nginx nginx config example server { listen 80; server_name sdnext.example.com; return 301 https://$server_name$request_uri; } server { listen 443 ssl; server_name sdnext.example.com; # SSL Settings ssl_certificate /etc/ssl/private/wildcard.pem; ssl_certificate_key /etc/ssl/private/wildcard.pem; ssl_trusted_certificate /etc/ssl/certs/wildcard.ca; add_header Strict-Transport-Security 'max-age=15552000; includeSubDomains'; ssl_protocols TLSv1.3 TLSv1.2; ssl_ciphers "EECDH+ECDSA+AESGCM EECDH+aRSA+AESGCM EECDH+ECDSA+SHA384 EECDH+ECDSA+SHA256 EECDH+aRSA+SHA384 EECDH+aRSA+SHA256 EECDH+aRSA+RC4 EECDH EDH+aRSA HIGH !RC4 !aNULL !eNULL !LOW !3DES !MD5 !EXP !PSK !SRP !DSS"; ssl_session_cache shared:SSL:20m; ssl_session_timeout 1h; ssl_prefer_server_ciphers on; ssl_stapling on; ssl_stapling_verify on; # Timeouts client_max_body_size 50G; client_body_timeout 600s; proxy_read_timeout 600s; proxy_send_timeout 600s; send_timeout 600s; # Set headers proxy_set_header Host $http_host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto $scheme; # enable websockets proxy_http_version 1.1; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection "upgrade"; proxy_redirect off; # DNS resolver 1.1.1.1 8.8.4.4 valid=300s; resolver_timeout 5s; # ========== Alternative image download page BEGIN location ~* /(download-text)/.*.(gif|jpg|png)$ { add_header Content-disposition "attachment; filename=$1"; types {} default_type application/octet-stream; expires -1; } location /download-text { alias /docker/sdnext/mnt-volume/data/outputs/text/; autoindex on; expires 1s; location ~* ^.+\.(jpeg|gif|png|jpg) { add_header Content-disposition "attachment"; } } # ========== Alternative image download page END location / { proxy_pass http://127.0.0.1:7860; } } SD.Next btrfs deduplication example in case SD.Next linux server got btrfs partition we might enjoy deduplication of the files and when we use a large number of models that deduplication may save some space btrfs filesystem du --summarize --human-readable /docker/sdnext/ compsize -x /docker/sdnext/ jdupes --one-file-system --dedupe --recurse --size /docker/sdnext/ Execution example root@server6:~ # btrfs filesystem du --summarize --human-readable /docker/sdnext/huggingface-volume Total Exclusive Set shared Filename 399.51GiB 399.51GiB 0.00B /docker/sdnext/huggingface-volume root@server6:~ # compsize -x /docker/sdnext/huggingface-volume Processed 526 files, 1860252 regular extents (1860252 refs), 48 inline. Type Perc Disk Usage Uncompressed Referenced TOTAL 89% 357G 399G 399G none 100% 175G 175G 175G zlib 81% 181G 223G 223G root@server6:~ # jdupes --one-file-system --dedupe --recurse --size /docker/sdnext/huggingface-volume root@server6:~ # btrfs filesystem du --summarize --human-readable /docker/sdnext/huggingface-volume Total Exclusive Set shared Filename 399.51GiB 294.70GiB 36.56GiB /docker/sdnext/huggingface-volume root@server6:~ # compsize -x /docker/sdnext/huggingface-volume Processed 526 files, 1516941 regular extents (1861709 refs), 48 inline. Type Perc Disk Usage Uncompressed Referenced TOTAL 89% 297G 333G 399G none 100% 151G 151G 175G zlib 80% 146G 182G 223G Example run on only one folder. Result might be better on FS level. But just as an example root@server6:~ # jdupes --one-file-system --dedupe --recurse --size /docker/sdnext/huggingface-volume Scanning: 353 files, 527 items (in 2 specified) [SRC] /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-E1-Full/blobs/f1ecf4952c2076dc9ef09f54814a2d4b3f14bfa9 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/f1ecf4952c2076dc9ef09f54814a2d4b3f14bfa9 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/f1ecf4952c2076dc9ef09f54814a2d4b3f14bfa9 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/f1ecf4952c2076dc9ef09f54814a2d4b3f14bfa9 [SRC] /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/cf6c4d78b3b4f575a8b296ee5fccf6ab4e14c686 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/cf6c4d78b3b4f575a8b296ee5fccf6ab4e14c686 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/cf6c4d78b3b4f575a8b296ee5fccf6ab4e14c686 [SRC] /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/f99e44fb320546035ca153638f1f2276e0cd2e04 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/f99e44fb320546035ca153638f1f2276e0cd2e04 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/f99e44fb320546035ca153638f1f2276e0cd2e04 [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/481c7b2b39771c44df6dd8d13ee12ed072d731b4a650bd092885d4d52db229ad ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/481c7b2b39771c44df6dd8d13ee12ed072d731b4a650bd092885d4d52db229ad [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/c0ef3a140898e228a3520c9adec60743d2e8e5b3d229651bb37f1a3921919f99 ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/c0ef3a140898e228a3520c9adec60743d2e8e5b3d229651bb37f1a3921919f99 [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/a451792c739c05bca4606190cc2dd16731411bac03b4cf6aacc5767321f857c9 ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/a451792c739c05bca4606190cc2dd16731411bac03b4cf6aacc5767321f857c9 [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/f93148bcc04052a169e1e49bfcf6125df6cf9bf243cb9c627da75266cf8e35c3 ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/f93148bcc04052a169e1e49bfcf6125df6cf9bf243cb9c627da75266cf8e35c3 [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/7e76e18d224531b8197a46231cb53daf7f2f6ca707130252becf933026ac4eea ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/7e76e18d224531b8197a46231cb53daf7f2f6ca707130252becf933026ac4eea [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/60ece61b46ecb3e6a5b705ea304bc97535317c2a ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/60ece61b46ecb3e6a5b705ea304bc97535317c2a [SRC] /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-1.3B-Diffusers/blobs/2fd01c57dddd8ae386d518c69c087c8ba8c73804 ====> /docker/sdnext/huggingface-volume/hub/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/blobs/2fd01c57dddd8ae386d518c69c087c8ba8c73804 [SRC] /docker/sdnext/huggingface-volume/hub/models--Freepik--F-Lite/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--ostris--Flex.2-preview/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e [SRC] /docker/sdnext/huggingface-volume/hub/models--Freepik--F-Lite/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--ostris--Flex.2-preview/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 [SRC] /docker/sdnext/huggingface-volume/hub/models--Freepik--F-Lite/blobs/c8728bc3dca59d2616a2a594cbac3ddb9eb77d5b ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/c8728bc3dca59d2616a2a594cbac3ddb9eb77d5b ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/c8728bc3dca59d2616a2a594cbac3ddb9eb77d5b ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/c8728bc3dca59d2616a2a594cbac3ddb9eb77d5b ====> /docker/sdnext/huggingface-volume/hub/models--ostris--Flex.2-preview/blobs/c8728bc3dca59d2616a2a594cbac3ddb9eb77d5b [SRC] /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-2B-Text2Image/blobs/30dea2006604226b944972536b9fc1ae40e3ef39b844140641cc450af5490158 ====> /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-14B-Text2Image/blobs/30dea2006604226b944972536b9fc1ae40e3ef39b844140641cc450af5490158 [SRC] /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-2B-Text2Image/blobs/d90c625c136567ef62dc13d7fde0d54393a2b08e7400b3594d38c6a9ba12f897 ====> /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-14B-Text2Image/blobs/d90c625c136567ef62dc13d7fde0d54393a2b08e7400b3594d38c6a9ba12f897 [SRC] /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-2B-Text2Image/blobs/371ddccda7716967086fd98ef7e2f8e14f96f6ae ====> /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-14B-Text2Image/blobs/371ddccda7716967086fd98ef7e2f8e14f96f6ae [SRC] /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-2B-Text2Image/blobs/6c85dc465ff1a4392f21aeefb7ab6ea7b9b990a9 ====> /docker/sdnext/huggingface-volume/hub/models--nvidia--Cosmos-Predict2-14B-Text2Image/blobs/6c85dc465ff1a4392f21aeefb7ab6ea7b9b990a9 on /docker/sdnext level it looks like [SRC] /docker/sdnext/huggingface-volume/hub/models--Freepik--F-Lite/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/huggingface-volume/hub/models--ostris--Flex.2-preview/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/mnt-volume/models/Diffusers/models--black-forest-labs--FLUX.1-dev/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/mnt-volume/models/Diffusers/models--black-forest-labs--FLUX.1-Kontext-dev/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/mnt-volume/models/Diffusers/models--black-forest-labs--FLUX.1-schnell/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/mnt-volume/models/Diffusers/models--lodestones--Chroma/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/mnt-volume/models/Diffusers/models--ostris--Flex.2-preview/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e ====> /docker/sdnext/mnt-volume/models/Diffusers/models--shuttleai--shuttle-3.1-aesthetic/blobs/ec87bffd1923e8b2774a6d240c922a41f6143081d52cf83b8fe39e9d838c893e [SRC] /docker/sdnext/huggingface-volume/hub/models--Freepik--F-Lite/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Dev/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Fast/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--HiDream-ai--HiDream-I1-Full/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/huggingface-volume/hub/models--ostris--Flex.2-preview/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/mnt-volume/models/Diffusers/models--black-forest-labs--FLUX.1-dev/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/mnt-volume/models/Diffusers/models--black-forest-labs--FLUX.1-Kontext-dev/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/mnt-volume/models/Diffusers/models--black-forest-labs--FLUX.1-schnell/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/mnt-volume/models/Diffusers/models--lodestones--Chroma/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/mnt-volume/models/Diffusers/models--ostris--Flex.2-preview/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ====> /docker/sdnext/mnt-volume/models/Diffusers/models--shuttleai--shuttle-3.1-aesthetic/blobs/a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00 ... Deduplication done (6565 files processed)   Edit SD.Next task que using sqlite3 Sometimes it is not possible to remove hanged task from SD.Next - it is instantly re-scheduled. that is can be done by direct edit of sqlite3 database like shown below # apt install sqlite3 sqlite3 /docker/sdnext/app-volume/extensions-builtin/sd-webui-agent-scheduler/task_scheduler.sqlite3 sqlite> .tables app_state task sqlite> .schema task CREATE TABLE task ( id VARCHAR(64) NOT NULL, api_task_id VARCHAR(64), api_task_callback VARCHAR(255), name VARCHAR(255), type VARCHAR(20) NOT NULL, params TEXT NOT NULL, script_params BLOB NOT NULL, priority INTEGER NOT NULL, status VARCHAR(20) NOT NULL, result TEXT, bookmarked BOOLEAN, created_at DATETIME DEFAULT (datetime('now')) NOT NULL, updated_at DATETIME DEFAULT (datetime('now')) NOT NULL, PRIMARY KEY (id) ); sqlite> .schema task CREATE TABLE task ( id VARCHAR(64) NOT NULL, api_task_id VARCHAR(64), api_task_callback VARCHAR(255), name VARCHAR(255), type VARCHAR(20) NOT NULL, params TEXT NOT NULL, script_params BLOB NOT NULL, priority INTEGER NOT NULL, status VARCHAR(20) NOT NULL, result TEXT, bookmarked BOOLEAN, created_at DATETIME DEFAULT (datetime('now')) NOT NULL, updated_at DATETIME DEFAULT (datetime('now')) NOT NULL, PRIMARY KEY (id) ); sqlite> SELECT id, name, status FROM task; task(fhraih0ryzwm1iq)||done task(93jw8bgegiaczkr)||pending 220fd698-05db-4224-8480-03ced279d906||pending sqlite> DELETE FROM task WHERE id = '220fd698-05db-4224-8480-03ced279d906'; sqlite> .exit SD.Next by liutyi docker compose Personal preferences fork from Vlad SD.Next for Intel Arc iGPU system based on Intel Core Ultra products. Might be also compatible with All other HW that SD.Next is suppose to work on (but that is upstream project is better to be used). Fork is also keeps standard theme as default. keeps scheduler as built in plugin. uses long filenames by default. Have Dockerfile and  containers that based on  consumer Intel drivers not DC product one. Keeps Intel Extension for Pytorch (ipex) compatibility (as long as it is relevant). So there are 2 versions available IPEX Container: https://hub.docker.com/repository/docker/liutyi/sdnext-ipex/tags/25.11-ipex/   Source code: https://github.com/liutyi/sdnext/tree/ipex   PyTorch 2.7.1+xpu; IPEX 2.7.10+xpu. It was working better than Pytorch 2.7.1+xpu w/o ipex for iGPU. But might not be actually that better than 2.9.1+xpu. The only reason (at least it seems to) to continue use it is that it provides GPU memory usage verbose stats. PyTorch Docker container: https://hub.docker.com/repository/docker/liutyi/sdnext-ipex/tags/25.11-pytorch   Source code: https://github.com/liutyi/sdnext/tree/pytorch   Based on PyTorch 2.9.1+xpu  Docker-compose example services: sdnext-ipex: container_name: sdnext-ipex # PyTorch 2.7.1+xpu and ipex 2.7.10+xpu for Intel # image: liutyi/sdnext-ipex:25.11-ipex # PyTorch 2.9.1+xpu for Intel image: liutyi/sdnext-ipex:25.11-pytorch restart: unless-stopped devices: # GPU - /dev/dri:/dev/dri # NPU (optional) - /dev/accel:/dev/accel environment: - HF_DEBUG=True # To USE Nano Banana get key https://aistudio.google.com/api-keys # - GOOGLE_API_KEY=AIxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ports: - 7860:7860 volumes: - /docker/sdnext/app-volume:/app - /docker/sdnext/mnt-volume:/mnt - /docker/sdnext/hf-volume:/root/.cache/huggingface - /dev/shm:/dev/shm Test 47 - Allo theatre play cover First drafts ChatGPT Starting with ChatGPT  getting Posters like that for Play Allo Also getting the prompt from ChatGPT for try this at home. A dark, atmospheric theatrical poster for a Ukrainian play titled "АЛЛО". Two semi-transparent silhouettes, a man on the left and a woman on the right, face each other across the composition. Between them, a glowing vintage telephone handset floats vertically, connected by a wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing Cyrillic letters at the top. Below, in simple thin font, three lines of text: "Бестіарій", "За п’єсою Сергія Марена", "Режисер Оленка Вахрамєєва". The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Some at home generations are Flux.2 Dev Flux.2 Dev uint4 Qwen Image Pruning 13B Flux.1 Dev SRPO Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man on the right and a woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "ALLO" is written in large, glowing letters at the top. Below, in simple thin font, three lines of text: "Bestiarii", "Serhiy Maren play", "Directed by Olenka Vahrameieva". The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design.   Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man (30y.o) on the right and a woman (40y.o) on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "ALLO" is written in large, glowing letters at the top. Below, in simple thin font, three lines of text: "Bestiarii", "Play by Serhii Maren", "Directed by Olenka Vahrameieva". The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 5| App: SD.Next| Version: f71db69| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO HiDream I1 Full HiDream + Chat GPT WAN 2.2 T2I 14B Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man on the right and a woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers   Time: 57m 15.22s | total 3752.86 pipeline 3435.19 move 194.08 preview 68.90 vae 16.87 onload 15.91 offload 15.27 te 6.56 | GPU 38210 MB 32% | RAM 76.44 GB 61% Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a 30 y.o. man on the right and a 40 y.o. woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 1924231650| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a 30 y.o. man on the right and a 40 y.o. woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 1280x720| Seed: 1379209072| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers   Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a 30 y.o. man on the right and a 40 y.o. woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 1280x720| Seed: 686814438| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers Enhance prompt original gemma-3-4b-it qwen3-4b Instruct-2507 Llama-3.2-3B Instruct A dark, atmospheric theatrical poster.  Two semi-transparent silhouettes, a man on the right and a woman on the left, face each other across the composition.  Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication.  The background is textured, with subtle cracks and a moody bluish glow.  The title "АЛЛО" is written in large, glowing letters at the top.  The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere.  Poster style, cinematic, minimalistic, modern graphic design. Dark, atmospheric theatrical poster featuring two semi-translucent humanoid figures – male silhouette positioned predominantly on the right side, exhibiting broad shoulders and sharply angled jawline; female silhouette situated on the left, characterized by flowing hair cascading down her back and delicate facial features – facing one another directly within the frame’s central axis. Both figures wear tailored charcoal grey Victorian frock coats extending past their knees, subtly revealing high collars adorned with intricate silver embroidery. A single, intensely saturated crimson vintage rotary telephone handset, rendered with visible scratches and aged brass detailing, levitates vertically between the subjects, illuminated from behind by a diffuse blue light source casting long shadows. The handsets coiled black cable extends seamlessly into the darkness beyond. Background consists of heavily distressed concrete texture overlaid with a pervasive, muted cyan luminescence emanating from hairline fractures spiderwebbing across the surface. At the apex of the composition, АЛЛО is emblazoned in colossal, dynamically lit neon lettering—a sharp, angular typeface radiating intense turquoise energy—dominating the upper portion of the poster. Overall impression evokes a sense of isolation, suspenseful anticipation, and melancholic beauty through minimalist execution and chiaroscuro lighting techniques reminiscent of film noir cinematography. A dark, atmospheric theatrical poster depicts two semi-transparent humanoid figures centered along the vertical axis: a male silhouette on the right with broad shoulders and a sharply defined jawline, standing tall and composed; a female figure on the left, distinguished by long, flowing hair streaming downward over her back and refined, ethereal facial features. Both wear impeccably tailored charcoal gray Victorian frock coats that extend just below the knee, their high collars intricately embroidered with fine silver thread patterns that catch faint glimmers under ambient light. Between them, suspended mid-air like a spectral bridge, rests a single vintage rotary telephone handset — its once-polished brass now worn smooth with deep scratches and weathered patina — glowing with an eerie inner intensity due to illumination from behind. The handset emits a soft pulse of blood-red hue, contrasting starkly against the surrounding tones. From its base, a thick, coiled black cable snakes silently into the void beyond the frame, vanishing into shadowy depth. Behind the figures, the backdrop reveals cracked, uneven concrete surfaces textured with coarse grit and fissures, each crack pulsing gently with a dim, diffused cyan glow resembling bioluminescent veins spreading outward. This luminous network forms a subtle web across the wall-like expanse, creating a haunting sense of hidden connection beneath silence. At the very top center of the poster, the word АЛЛО dominates in massive, jagged neon letters — crafted in a sharp, futuristic angular font — emitting a radiant burst of electric turquoise light that seems to vibrate slightly, as though humming with latent power. The entire scene is bathed in dramatic chiaroscuro lighting: deep contrasts between bright highlights and profound blacks amplify tension, drawing focus to the interplay of form, space, and stillness. The mood is one of quiet solitude, unspoken dread, and bittersweet longing—an emotional resonance forged through minimalism, cinematic realism, and the timeless elegance of early 20th-century design fused with modern surrealism. A dark, cinematic still life photograph depicting a dimly-lit, smoke-filled study, where a lone figure sits hunched over a cluttered wooden desk, surrounded by stacks of dusty leather-bound books and scattered papers. The figure, a middle-aged man with a gaunt face and sunken eyes, wears a worn, brown tweed jacket with frayed cuffs and a faded waistcoat, his hands stained with ink and cigarette ash. His head is bowed forward, resting upon his upturned palms. On the opposite side of the room, a large, ornate mirror hangs askew against the wall, its glassy surface reflecting the faint glow of a dying candle flame cast onto the adjacent bookshelf. Shelves overflow with ancient tomes bound in cracked leather, some lying open to reveal yellowed pages filled with handwritten notes and cryptic symbols. In the foreground, a battered, metal typewriter sits atop a stack of crumpled paper, its keys smeared with dried bloodstains. A half-empty glass of whiskey rests beside the machine, next to a folded piece of paper bearing a scribbled message scrawled in red ink. Soft, diffused light pours in through the grimy windowpane above, illuminating the space with an eerie, otherworldly ambiance. Shadows dance across the walls, accentuating the air of foreboding and desperation that pervades this forsaken sanctuary. Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man on the right and a woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Prompt: Dark, atmospheric theatrical poster featuring two semi-translucent humanoid figures – male silhouette positioned predominantly on the right side, exhibiting broad shoulders and sharply angled jawline; female silhouette situated on the left, characterized by flowing hair cascading down her back and delicate facial features – facing one another directly within the frame’s central axis. Both figures wear tailored charcoal grey Victorian frock coats extending past their knees, subtly revealing high collars adorned with intricate silver embroidery. A single, intensely saturated crimson vintage rotary telephone handset, rendered with visible scratches and aged brass detailing, levitates vertically between the subjects, illuminated from behind by a diffuse blue light source casting long shadows. The handsets coiled black cable extends seamlessly into the darkness beyond. Background consists of heavily distressed concrete texture overlaid with a pervasive, muted cyan luminescence emanating from hairline fractures spiderwebbing across the surface. At the apex of the composition, АЛЛО is emblazoned in colossal, dynamically lit neon lettering—a sharp, angular typeface radiating intense turquoise energy—dominating the upper portion of the poster. Overall impression evokes a sense of isolation, suspenseful anticipation, and melancholic beauty through minimalist execution and chiaroscuro lighting techniques reminiscent of film noir cinematography. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Prompt: A dark, atmospheric theatrical poster depicts two semi-transparent humanoid figures centered along the vertical axis: a male silhouette on the right with broad shoulders and a sharply defined jawline, standing tall and composed; a female figure on the left, distinguished by long, flowing hair streaming downward over her back and refined, ethereal facial features. Both wear impeccably tailored charcoal gray Victorian frock coats that extend just below the knee, their high collars intricately embroidered with fine silver thread patterns that catch faint glimmers under ambient light. Between them, suspended mid-air like a spectral bridge, rests a single vintage rotary telephone handset — its once-polished brass now worn smooth with deep scratches and weathered patina — glowing with an eerie inner intensity due to illumination from behind. The handset emits a soft pulse of blood-red hue, contrasting starkly against the surrounding tones. From its base, a thick, coiled black cable snakes silently into the void beyond the frame, vanishing into shadowy depth. Behind the figures, the backdrop reveals cracked, uneven concrete surfaces textured with coarse grit and fissures, each crack pulsing gently with a dim, diffused cyan glow resembling bioluminescent veins spreading outward. This luminous network forms a subtle web across the wall-like expanse, creating a haunting sense of hidden connection beneath silence. At the very top center of the poster, the word АЛЛО dominates in massive, jagged neon letters — crafted in a sharp, futuristic angular font — emitting a radiant burst of electric turquoise light that seems to vibrate slightly, as though humming with latent power. The entire scene is bathed in dramatic chiaroscuro lighting: deep contrasts between bright highlights and profound blacks amplify tension, drawing focus to the interplay of form, space, and stillness. The mood is one of quiet solitude, unspoken dread, and bittersweet longing—an emotional resonance forged through minimalism, cinematic realism, and the timeless elegance of early 20th-century design fused with modern surrealism. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Prompt: A dark, cinematic still life photograph depicting a dimly-lit, smoke-filled study, where a lone figure sits hunched over a cluttered wooden desk, surrounded by stacks of dusty leather-bound books and scattered papers. The figure, a middle-aged man with a gaunt face and sunken eyes, wears a worn, brown tweed jacket with frayed cuffs and a faded waistcoat, his hands stained with ink and cigarette ash. His head is bowed forward, resting upon his upturned palms. On the opposite side of the room, a large, ornate mirror hangs askew against the wall, its glassy surface reflecting the faint glow of a dying candle flame cast onto the adjacent bookshelf. Shelves overflow with ancient tomes bound in cracked leather, some lying open to reveal yellowed pages filled with handwritten notes and cryptic symbols. In the foreground, a battered, metal typewriter sits atop a stack of crumpled paper, its keys smeared with dried bloodstains. A half-empty glass of whiskey rests beside the machine, next to a folded piece of paper bearing a scribbled message scrawled in red ink. Soft, diffused light pours in through the grimy windowpane above, illuminating the space with an eerie, otherworldly ambiance. Shadows dance across the walls, accentuating the air of foreboding and desperation that pervades this forsaken sanctuary. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Cosmos-Predict2 14B Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man (30y.o) on the right and a woman (40y.o) on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "ALLO" is written in large, glowing letters at the top. Below, in simple thin font, three lines of text: "Bestiarii", "Play by Serhii Maren", "Directed by Olenka Vahrameieva". The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a 30yo man in t-shirt on the right and a 40yo woman in a black dress on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 1878617849| CFG scale: 3.5| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Other prompts QWEN HiDream Cosmos WAN Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Felix) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 5| App: SD.Next| Version: f71db69| Pipeline: QwenImagePipeline| Operations: txt2img| Model: Qwen-Image Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Felix) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 5| App: SD.Next| Version: f71db69| Pipeline: HiDreamImagePipeline| Operations: txt2img| Model: HiDream-I1-Full Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Felix) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 5| App: SD.Next| Version: f71db69| Pipeline: Cosmos2TextToImagePipeline| Operations: txt2img| Model: Cosmos-Predict2-14B-Text2Image Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Felix) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 5| App: SD.Next| Version: f71db69| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-T2V-A14B-Diffusers Kolors Flux.2 Dev Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Tymofiy) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 50| Size: 1024x1024| Seed: 2589760219| CFG scale: 6| App: SD.Next| Version: 196988c| Pipeline: KolorsPipeline| Operations: txt2img| Model: Kolors-diffusers   Time: 4m 10.60s | total 406.34 pipeline 244.02 callback 152.61 decode 6.52 te 2.85 gc 0.28 | GPU 19966 MB 16% | RAM 31.83 GB 25% Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Tymofiy) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 50| Size: 720x1280| Seed: 2589760219| CFG scale: 6| App: SD.Next| Version: 196988c| Pipeline: KolorsPipeline| Operations: txt2img| Model: Kolors-diffusers   Time: 3m 52.89s | total 459.23 pipeline 228.57 callback 138.35 preview 86.62 decode 4.28 te 1.09 gc 0.28 | GPU 19490 MB 15% | RAM 28.45 GB 23% tempestByVlad_baseV01 [8bfad17222] Prompt: Dramatic, high-contrast theater poster for the play 'ALLO' (Hello). The composition features a stark, bisected visual: two separate, dimly lit, brutalist concrete bunkers, one containing a man (Tymofii) and the other a woman (Margo), both holding vintage rotary phones to their ears. The only connection is a single, glowing, neon red telephone cord that stretches across the dark space, symbolizing hope and love against isolation. The style should be gritty and cinematic, reminiscent of high-contrast noir photography with a post-apocalyptic, sci-fi atmosphere. Minimalist text placement for the title 'ALLO' in a clean, sans-serif font. Parameters: Steps: 20| Size: 720x1280| Seed: 42| CFG scale: 3.5| App: SD.Next| Version: 8488be0| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222 Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man (30y.o) on the right and a woman (40y.o) on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design.   Parameters: Steps: 20| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: 8488be0| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222 Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man (30y.o) on the right and a woman (40y.o) on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "ALLO" is written in large, glowing letters at the top. Below, in simple thin font, three lines of text: "Bestiarii", "Play by Serhii Maren", "Directed by Olenka Vahrameieva". The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 5| App: SD.Next| Version: 8488be0| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222 Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man on the right and a woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 20| Size: 720x1280| Seed: 42| CFG scale: 3.4| App: SD.Next| Version: 8488be0| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222 Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a 30 y.o. man on the right and a 40 y.o. woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "ALLO" is written in large, glowing letters at the top. The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 20| Size: 720x1280| Seed: 42| CFG scale: 3.4| App: SD.Next| Version: 8488be0| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222 Prompt: A dark, atmospheric theatrical poster. Two semi-transparent silhouettes, a man on the right and a woman on the left, face each other across the composition. Between them, a vibrant red vintage telephone handset floats vertically, slightly backlighted, connected by a black wire, symbolizing distant communication. The background is textured, with subtle cracks and a moody bluish glow. The title "АЛЛО" is written in large, glowing letters at the top. Below, in simple thin font, three lines of text: "Бестіарій", "Автор: Сергій Марен", "Режисер: Оленка Вахрамєєва". The overall color palette is dark, teal and black, with soft lighting and an enigmatic, dramatic atmosphere. Poster style, cinematic, minimalistic, modern graphic design. Parameters: Steps: 50| Size: 720x1280| Seed: 42| CFG scale: 6| App: SD.Next| Version: 8488be0| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222   Time: 4m 39.02s | total 520.22 pipeline 275.01 callback 141.31 preview 96.73 decode 3.97 prompt 2.87 gc 0.26 | GPU 10172 MB 8% | RAM 28.75 GB 23% More prompts from ChatGPT Surreal Connection Minimalist Symbolism Duality & Silence A surreal theatrical poster for the Ukrainian play "АЛЛО".  In the center, a cracked concrete wall with a glowing fissure shaped like a telephone handset, radiating soft light.  On the left side of the crack, cold blue shadows with abstract human silhouettes leaning in, on the right side warm greenish light with other faint silhouettes.  The title "АЛЛО" appears at the top in large glowing Cyrillic letters, distressed texture.  At the bottom, thin minimalist typeface with three lines of text:  1) "Бестіарій"  2) "За п’єсою Сергія Марена"  3) "Режисер Оленка Вахрамєєва".  Dark, symbolic, high-contrast poster design. A minimalistic poster for the Ukrainian play "АЛЛО".  A single old rotary telephone sits in the center on cracked concrete floor, illuminated by a spotlight in an otherwise dark underground room.  The phone cord splits into two glowing threads, extending left and right into shadowy emptiness.  The background fades into textured darkness with subtle mist.  The word "АЛЛО" is written above in bold, glowing Cyrillic letters.  At the bottom in thin modern font:  1) "Бестіарій"  2) "За п’єсою Сергія Марена"  3) "Режисер Оленка Вахрамєєва".  Cinematic, moody, symbolic design. A theatrical poster for the Ukrainian play "АЛЛО".  The composition is split vertically into two halves:  on the left side a faded silhouette of a man in cool blue tones, on the right a silhouette of a woman in warm green tones.  Between them hangs an old telephone receiver glowing faintly, symbolizing fragile communication.  Background: textured dark concrete wall with scratches and cracks.  The title "АЛЛО" in large bold Cyrillic letters glows faintly at the top.  At the bottom, three lines of text in very thin minimalist font:  1) "Бестіарій"  2) "За п’єсою Сергія Марена"  3) "Режисер Оленка Вахрамєєва".  Minimal, moody, dramatic poster. ChatGPT Gemini GROK hunyuan-image     Tempest by Vlad Kolors (4m 15.07s GPU 20442 MB 17% | RAM 48.46 GB 39%) Flux.1 Krea Dev 12B (Time: 18m 22.46s | GPU 26322 MB 22% | RAM 68.46 GB 55%)   Qwen Image 20B HiDream I1 14B (Time: 40m 50.94s | GPU 50506 MB 42% | RAM 92.39 GB 74%) Wan 2.2 14B Cosmos Predict 2 14B   Flux.2 Dev uint4 Flux.2 Dev