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Negative prompt have significant impact on image quality |
https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers
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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Negative: Vibrant colors, overexposed, static, blurry details, subtitles, style, artwork, painting, image, still, overall grayish, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, distorted limbs, fingers fused together, static image, cluttered background, three legs, many people in the background, walking backwards.
Parameters: Steps: 50| Size: 1024x1024| Seed: 2736029172| CFG scale: 5| App: SD.Next| Version: 7644432| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-TI2V-5B-DiffusersTime
285H Time: 2m 52.36s | total 174.08 pipeline 172.32 te 1.38 | GPU 29768 MB 24% | RAM 38.68 GB 31%
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Test 2 - Face and hand
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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.
Negative: Vibrant colors, overexposed, static, blurry details, subtitles, style, artwork, painting, image, still, overall grayish, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, distorted limbs, fingers fused together, static image, cluttered background, three legs, many people in the background, walking backwards.
Parameters: Steps: 32| Size: 1024x1024| Seed: 1931701040| CFG scale: 4| App: SD.Next| Version: 7644432| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.2-TI2V-5B-Diffusers
Time: 1m 51.74s | total 113.37 pipeline 111.71 te 1.37 | GPU 29768 MB 24% | RAM 38.83 GB 32%
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Test 3 - Legs
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