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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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Time: 2m 31.04s | total 151.05 pipeline 150.98 | GPU 18110 MB 14% | RAM 3.11 GB 2%
| 4 | 8 | 16 | 20 | 32 | 50 | |
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Euler FlowMatch CFG3 |
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.
| STEPS | 4 | 8 | 16 | 20 | 32 | 50 |
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| CFG0 |
System
| Code Block |
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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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