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DRAFT |
Intro
App: https://github.com/vladmandic/sdnext/tree/dev Version 2025-07-040 (ipex)
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Execution: Time: 18m 39.49s | total 1120.96 pipeline 1083.47 decode 35.96 preview 1.47 | RAM 61.37 GB 65%
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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: 20| Size: 1024x1024| Seed: 3033194654| CFG scale: 8| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
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Is there way to draw legs correct?
- trying several random seeds - may get a better result
- trying different resolutions
- trying different sampler
- trying negative prompts
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.
trying different resolutions and samplers
Seed 101684518 found to be better than 3033194654 just by run several generation with random seeds
| Steps: 12| Size: 1024x1024| Seed: 101684518| CFG scale: 3 | Steps: 12| Size: 768x768| Seed: 101684518| CFG scale: 3 | Steps: 12| Size: 512x512| Seed: 101684518| CFG scale: 3 | |
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Default (Euler) | Time: 11m 22.99s | Time: 6m 38.81s | |
Heun | Time: 5m 53.04s | ||
LCM | Time: 3m 17.69s | ||
DDIM | Time: 3m 17.08s | ||
DPM++ 2M | Time: 3m 13.02s | ||
DPM++ 1S | Time: 3m 15.26s | ||
DPM++ 2M SDE | Time: 3m 18.49s | ||
KDPM2 | Time: 5m 55.50s |
System Info
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app: sdnext updated: 2025-07-04 hash: 1a3b6e3b url: https://github.com/vladmandic/sdnext/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-28-generic python: 3.12.3 Torch 2.7.1+xpu device: Intel(R) Iris(R) Xe Graphics (iGPU) openvino: 2025.2.0 ram: free:31.06 used:62.91 total:93.97 gpu: total:93.97 xformers: diffusers: 0.35.0.dev0 transformers: 4.53.0 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 |
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