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changes.mady.by.user Oleksandr Liutyi

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changes.mady.by.user Oleksandr Liutyi

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FLUX.1-devFLUX.1-schnell

Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 20| Size: 768x1024| Sampler: DPM2++ 2M SDE FlowMatch| Seed: 1824549599| CFG scale: 2| Model: FLUX.1-dev| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: FluxPipeline


Time: 5m 55.86s | total 365.60 pipeline 344.89 decode 9.05 offload 5.97 move 1.89 prompt 1.88 te 1.87 | GPU 33926 MB 26% | RAM 25.12 GB 20%


Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 12| Size: 768x1024| Sampler: DPM2++ 2M SDE FlowMatch| Seed: 1824549599| CFG scale: 2| Model: FLUX.1-schnell| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: FluxPipeline


Time: 3m 43.37s | total 240.85 pipeline 208.63 offload 11.62 decode 8.86 move 5.85 prompt 5.84 | GPU 33958 MB 26% | RAM 25.11 GB 20%

Shuttle-3.1-aesthetic vs Chroma

shuttle-3.1-aestheticChroma

Image Added

Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 16| Size: 768x1024| Sampler: DPM2++ SDE FlowMatch| Seed: 1824549599| CFG scale: 6| Model: shuttle-3.1-aesthetic| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: FluxPipeline


Time: 4m 46.10s | total 292.19 pipeline 276.90 decode 9.15 offload 6.07 | GPU 34378 MB 27% | RAM 25.32 GB 20%

Image Added

Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 20| Size: 768x1024| Seed: 1824549599| CFG scale: 3| Model: Chroma| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: ChromaPipeline


Time: 12m 7.16s | total 760.53 pipeline 704.01 move 13.53 prompt 13.52 te 13.51 decode 9.60 offload 6.33 | GPU 27780 MB 22% | RAM 19.74 GB 16%

Stable Diffusion 3.5 vs Stable Cascade

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Flex2. Preview vs Playground v2 vs PixelArt-Sigma-XL

Flex 2 Preview

playground-v2-1024px-aesthetic

PixArt-Sigma-XL-2-1024-MS

Image Modified

Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 50| Size: 512x768| Seed: 1824549599| CFG scale: 6| Model: Flex.2-preview| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: Flex2Pipeline


Time: 6m 8.06s | total 372.45 pipeline 362.14 decode 5.90 offload 4.36 | GPU 25696 MB 20% | RAM 18.05 GB 14%

Image Modified

Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 20| Size: 512x768| Seed: 1824549599| CFG scale: 6| Model: playground-v2-1024px-aesthetic| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: StableDiffusionXLPipeline


Time: 40.49s | total 76.18 pipeline 35.89 preview 32.49 move 3.13 prompt 2.46 decode 2.06 | GPU 8400 MB 7% | RAM 2.76 GB 2%

Image Modified

Prompt: one orange toyota c-hr 2019 taking turn in jungle rally on a mud road on a high speed. with mud drops flying onto spectators. Plates text is C-HR

Parameters: Steps: 30| Size: 512x768| Seed: 1824549599| CFG scale: 6| Model: PixArt-Sigma-XL-2-1024-MS| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: PixArtSigmaPipeline


Time: 45.05s | total 69.76 pipeline 43.53 preview 24.70 decode 1.50 | GPU 12004 MB 9% | RAM 2.66 GB 2%

System Info

Code Block
app: sdnext.git updated: 2025-06-30 hash: 0d7c025a url: https://github.com/vladmandic/sdnext.git/tree/master
arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-29-generic python: 3.12.3
Torch 2.7.1+xpu
GPU device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:123.88 used:1.45 total:125.33
xformers: diffusers: 0.35.0.dev0 transformers: 4.53.0
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16

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