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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.
1024px
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bookshop girl
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2048px
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
| 2 | 4 | 6 | 8 | 10 | |
|---|---|---|---|---|---|
CFG3.25 | |||||
| 12 | 14 | 16 | 18 | 32 | |
Test 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.
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Test 4 - Other model Covers
512px
1024px
2048px
Test 5 - Art Prompts
System info
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Sat Oct 25 12:53:29 2025 app: sdnext.git updated: 2025-11-20 hash: 187943c3e url: https://github.com/liutyi/sdnext/tree/pytorch arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-36-generic Python: 3.12.3 Torch: 2.9.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: ram: free:119.21 used:6.12 total:125.33 xformers: diffusers: 0.36.0.dev0 transformers: 4.57.1 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers refiner: none vae: none te: none unet: none Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product |
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