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CFG (Guidance scale) seems to be ignored, and attempting to use different flow match samplers also give the same result |
Part 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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Parameters: Steps: 4| Size: 1024x1024| Sampler: Euler FlowMatch| Seed: 1297385681| CFG scale: 3| Model: OmniGen2| App: SD.Next| Version: d5d857a| Operations: txt2img| Pipeline: OmniGen2Pipeline
Execution: Time: 2m 31.04s | total 151.05 pipeline 150.98 | GPU 18110 MB 14% | RAM 3.11 GB 2%
Prompt: Create a close-up photograph of a woman's face and hand, with her hand raised to her chin. She is wearing a white blazer and has a gold ring on her finger. Her nails are neatly manicured and her hair is pulled back into a low bun. She is smiling and has a radiant expression on her face. The background is a plain light gray color. The overall mood of the photo is elegant and sophisticated. The photo should have a soft, natural light and a slight warmth to it. The woman's hair is dark brown and pulled back into a low bun, with a few loose strands framing her face.
Parameters: Steps: 32| Size: 1024x1024| Seed: 432887351| Model: OmniGen2| App: SD.Next| Version: d5d857a| Operations: txt2img| Pipeline: OmniGen2Pipeline
Execution: Time: 20m 26.24s | total 1226.25 pipeline 1226.18 | GPU 18110 MB 14% | RAM 2.76 GB 2%
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Euler FlowMatch 
| LCM FlowMatch | UniPC FlowMatch CFG3 Seed: 1297385681 |
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CFG0 Seed: 432887351 |
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Part 3 - Legs and ribbon
Prompt: Generate a photo of a woman's legs, with her feet crossed and wearing white high-heeled shoes with ribbons tied around her ankles. The shoes should have a pointed toe and a stiletto heel. The woman's legs should be smooth and tanned, with a slight sheen to them. The background should be a light gray color. The photo should be taken from a low angle, looking up at the woman's legs. The ribbons should be tied in a bow shape around the ankles. The shoes should have a red sole. The woman's legs should be slightly bent at the knee.
Parameters: Steps: 50| Size: 1024x1024| Seed: 2560750479| Model: OmniGen2| App: SD.Next| Version: d5d857a| Operations: txt2img| Pipeline: OmniGen2Pipeline
Execution: Time: 31m 19.53s | total 1879.55 pipeline 1879.49 | GPU 18094 MB 14% | RAM 3.
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16 GB 3%
| STEPS | 4 | 8 | 16 | 20 | 32 | 50 |
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| Seed: 2560750479 |
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| Seed: 432887351 |
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| CFG=0 | CFG=1 | CFG=2 | CFG=3 | CFG=4 | CFG=5 | CFG=6 | CFG=7 | CFG=8 | CFG=9 | 2 | 4 | 6 | 8 | 12 | 16 | 20 | 35 | 50
System
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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 device: Intel(R) Arc(TM) Graphics (1) ipex: ram: free:122.13 used:3.2 total:125.33 xformers: diffusers: 0.35.0.dev0 transformers: 4.53.0 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: Diffusers/OmniGen2/OmniGen2 [453419871d] refiner: none vae: none te: none unet: none |
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