Info
Model
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DRAFT |
Intro
App: https://githubhuggingface.comco/vladmandic/sdnext/tree/dev Version 2025-07-040 (ipex)Kwai-Kolors/Kolors
Model: https://huggingfacegithub.cocom/Kwai-Kolors/Kolors
Hardware used
HW1HW: Intel core i7 1355U Intel Xe Graphics iGPU, 96GB DDR5 5600 CL46 RAM
Part 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 16| Size: 1024x1024| Seed: 3033194654| CFG scale: 6| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
Execution: Time: 15m 5.29s | total 906.63 pipeline 869.25 decode 36.00 preview 1.34 | RAM 44.6 GB 47%
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(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. |
Test 0 - Different seed variations (IPEX)
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: 2736029172| CFG scale: 8| App: SD.Next| Version: ef65633| Pipeline: KolorsPipeline| Operations: txt2img| Model: Kolors-diffusers
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
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 16| Size: 1024x1024| Seed: 3033194654| CFG scale: 6| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
Execution: Time: 15m 5.29s | total 906.63 pipeline 869.25 decode 36.00 preview 1.34 | RAM 44.6 GB 47%
| STEPS: 4 | STEPS: 8 | STEPS: 16 | STEPS: 20 | STEPS: 32 | |
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| CFG0 | |||||
| CFG1 | |||||
| CFG2 | |||||
| CFG3 | |||||
| CFG4 | |||||
| CFG5 | |||||
| CFG6 | |||||
| CFG7 | |||||
| CFG8 | |||||
| CFG9 |
Part 2 - Face and hand
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: 20| Size: 1024x1024| Seed: 3317287141| CFG scale: 6| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
processing | 12.1/60.8s
Execution: Time: 18m 39.49s | total 1120.96 pipeline 1083.47 decode 35.96 preview 1.47 | RAM 61.37 GB 65%
| 12 | 16 | 20 | 24 | |
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| CFG=1 | ||||
| CFG=2 | ||||
| CFG=3 | ||||
| CFG=5 | ||||
| CFG=8 |
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
| 12 | 16 | 20 | 24 | |
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| CFG=1 | ||||
| CFG=2 | ||||
| CFG=3 | ||||
| CFG=5 | ||||
| CFG=8 |
Is there way to draw legs correct?
| Info | ||
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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 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 |
Negative prompt
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.
Negative: ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, out of frame, ugly, extra limbs, bad anatomy, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, mutated hands, fused fingers, too many fingers, long neck, extra head, cloned head, extra body, cloned body, watermark. extra hands, clone hands, weird hand, weird finger, weird arm, (mutation:1.3), (deformed:1.3), (blurry), (bad anatomy:1.1), (bad proportions:1.2), out of frame, ugly, (long neck:1.2), (worst quality:1.4), (low quality:1.4), (monochrome:1.1), text, signature, watermark, bad anatomy, disfigured, jpeg artifacts, 3d max, grotesque, desaturated, blur, haze, polysyndactyly
Parameters: Steps: 12| Size: 1024x1024| Seed: 101684518| CFG scale: 3| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
| Steps: 12| Size: 1024x1024| Seed: 101684518| CFG scale: 3 | + Negative prompt |
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Trying more steps
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: 100| Size: 1024x1024| Sampler: DPM++ 2M SDE| Seed: 101684518| CFG scale: 3| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
Execution: Time: 94m 49.55s | total 5692.86 pipeline 5648.46 decode 41.05 preview 3.31 | RAM 42.46 GB 45%
| 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
https://civitai.com/collections/10854139
STEPS 20 CFG 6
Covers of some other models generated with Kolors
from Test 42 - All models cover image
Art prompts
STEPS 5 CFG 5
Covers of some other models generated with Kolors
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
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: 0.36 |
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Part 2 - Face and hand
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: 20| Size: 1024x1024| Seed: 3317287141| CFG scale: 6| Model: Kolors-diffusers| App: SD.Next| Version: 1a3b6e3| Operations: txt2img| Pipeline: KolorsPipeline
processing | 12.1/60.8s
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.
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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: 4.5356.02 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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