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Info
Model: https://huggingface.co/Kwai-Kolors/Kolors
https://github.com/Kwai-Kolors/Kolors
Hardware used
HW1: Intel core i7 1355U Intel Xe Graphics iGPU, 96GB DDR5 5600 CL46 RAM (OpenVino CPU)
HW2: Intel core ultra 185H Intel Arc iGPU, 128GB DDR5 5600 CL46 RAM (IPEX)
Default guidance
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The pipeline uses the Euler Discrete Scheduler by default. We recommend using this scheduler with guidance scale=5.0 and num_inference_steps=50. The pipeline also supports the EDMDPM Solver Multistep Scheduler. guidance scale=5.0 and num_inference_steps=25 is a good default for this scheduler. |
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Time: 1m 50.86s | total 121.98 pipeline 104.95 callback 8.30 decode 5.87 preview 1.38 te 1.12 gc 0.30 | GPU 19720 MB 15% | RAM 35.99 GB 29%
| CFG5, STEP50 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| bookshop girl | ||||
| hand and face | ||||
| legs and shoes |
Part 1 - Bookshop
OpenVINO CPU
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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
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Use recommended by model creators CFG and STEPS (actually this answer is valid for all models). If SD.Next default values (20/6) gives bad result, you need to check hugging face and/or github of the model to find recommended values. For Kolors STEPS 50. CFG 5.0 as a starting point. |
- 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 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.
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| Steps: 12| Size: 1024x1024| Seed: 101684518| DPM++ 2M SDE | Steps: 24 | Steps: 48 | Steps: 100 |
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Part 4 - Other prompts (IPEX)
Mostly borrowed from
https://civitai.com/collections/10716337
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from Test 42 - All models cover image
Art prompts
System Info
OpenVINO
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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: 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 |
IPEX
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app: sdnext.git updated: 2025-10-02 hash: ef6563376 url: https://github.com/liutyi/sdnext.git/tree/ipex arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-32-generic python: 3.12.3 Torch 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: 2.7.10+xpu ram: free:116.15 used:9.18 total:125.33 gpu: free:106.42 used:18.91 total:125.33 gpu-active: current:16.89 peak:18.15 gpu-allocated: current:16.89 peak:18.15 gpu-reserved: current:18.91 peak:19.26 gpu-inactive: current:0.75 peak:0.79 events: retries:0 oom:0 utilization: 0 xformers: diffusers: 0.3536.0.dev0 transformers: 4.5356.02 active: cpuxpu dtype: torch.float32bfloat16 vae: torch.float32bfloat16 unet: torch.float32bfloat16 base: Diffusers/Kwai-Kolors/Kolors-diffusers [7e091c7519] refiner: none vae: none te: none unet: none |
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