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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: 16| Size: 768x768| Sampler: DPM2++ 2M FlowMatch| Seed: 2544969645| CFG scale: 6| Model: shuttle-3.1-aesthetic| App: SD.Next| Version: 0d7c025| Operations: txt2img| Pipeline: FluxPipeline

Execution: Time: 3m 39.65s | total 229.32 pipeline 209.69 decode 8.04 offload 5.87 move 1.91 prompt 1.90 te 1.88 | GPU 33284 MB 26% | RAM 25.2 GB 20%

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.

System Info

app: sdnext.git updated: 2025-06-30 hash: 0d7c025a url: https://github.com/vladmandic/sdnext.git/tree/master
arch: x86_64 cpu: x86_64 system: Linux release: 6.11.0-29-generic
python: 3.12.3 Torch 2.7.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:122.28 used:3.05 total:125.33
xformers: diffusers: 0.35.0.dev0 transformers: 4.53.0
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/shuttleai/shuttle-3.1-aesthetic [6e1883042a] refiner: none vae: none te: none unet: none

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