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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling


AUG8 (7 min)16 (15 min)20 (18 min)32 (20 min)50 (26 min)

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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: 32| Size: 1024x1024| Seed: 1620085323| CFG scale: 4| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large

Time: 11m 51.44s | total 719.38 pipeline 706.57 callback 5.86 decode 4.84 prompt 1.78 gc 0.30 | GPU 45676 MB 36% | RAM 71.98 GB 57%


NOV8162032 (11 minutes)50
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Test 3 - Legs

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: 50| Size: 1024x1024| Seed: 4075624134| CFG scale: 3| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large


Time: 18m 35.12s | total 1124.50 pipeline 1110.25 callback 9.10 decode 4.83 gc 0.28 | GPU 45676 MB 36% | RAM 72.04 GB 57%



816203250 (18 min)

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Test 3.1 - With Negative Prompt

lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature 

Positive onlyNegative added

Image Added

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: 50| Size: 1024x1024| Seed: 4075624134| CFG scale: 3| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large


Time: 18m 35.12s | total 1124.50 pipeline 1110.25 callback 9.10 decode 4.83 gc 0.28 | GPU 45676 MB 36% | RAM 72.04 GB 57%

 Image Added

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: lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature

Parameters: Steps: 50| Size: 1024x1024| Seed: 4075624134| CFG scale: 3| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large


Time: 18m 33.60s | total 1125.09 pipeline 1108.65 callback 9.09 decode 4.90 prompt 2.03 gc 0.37 | GPU 45676 MB 36% | RAM 72.07 GB 58%

Test 4 - Other model covers

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System info

Test Part 1

Code Block
Mon Aug  4 19:48:58 2025
app: sdnext.git updated: 2025-08-01 hash: b56d508a url: https://github.com/vladmandic/sdnext.git/tree/master
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-27-generic 
python: 3.12.3 Torch: 2.7.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:122.51 used:2.82 total:125.33
xformers:  diffusers: 0.35.0.dev0 transformers: 4.54.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/stabilityai/stable-diffusion-3.5-large [ceddf0a7fd] refiner: none vae: none te: none unet: none
Backend: ipex Cross-attention: Scaled-Dot-Product

Test Part 2-3

Code Block
Wed Nov 26 09:51:01
Code Block
Mon Aug  4 19:48:58 2025
app: sdnext.git updated: 2025-0811-0122 hash: b56d508aded5afc5d url: https://github.com/vladmandicliutyi/sdnext.git/tree/masterpytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-2736-generic 
python: 3.12.3 Torch: 2.79.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:122120.5152 used:24.8281 total:125.33
xformers:  diffusers: 0.3536.0.dev0 transformers: 4.5457.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/stabilityai/stable-diffusion-3.5-large [ceddf0a7fd] refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Cross-attention: Scaled-Dot-Product

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