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https://huggingface.co/briaai/BRIA-3.2

1. Using negative prompt is recommended.
2. For Fine-tuning, use zeros instead of null text embedding.
3. We support multiple aspect ratios, yet resolution should overall consists approximately 1024*1024=1M pixels, for example: ((1024,1024), (1280, 768), (1344, 768), (832, 1216), (1152, 832), (1216, 832), (960,1088)
4. Use 30-50 steps (higher is better)
5. Use guidance_scale of 5.0

Test 1 - Bookshop

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

Parameters: Steps: 64| Size: 768x768| Seed: 2464773602| App: SD.Next| Version: 30f3648| Pipeline: BriaPipeline| Operations: txt2img| Model: BRIA-3.2

Time: 6m 52.58s | total 317.63 pipeline 312.94 decode 3.19 vae 0.76 gc 0.51 te 0.43 post 0.25 | GPU 22754 MB 18% | RAM 2.81 GB 2%

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.

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: 20| Size: 1024x1024| Seed: 1931701040| CFG scale: 6| App: SD.Next| Version: 34031f5| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.1-T2V-1.3B-Diffusers

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Test 4 - Different seed variations and resolutions

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System info

app: sdnext.git updated: 2025-07-23 hash: 30f36487 url: https://github.com/vladmandic/sdnext.git/tree/dev
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-24-generic
python: 3.12.3 Torch: 2.7.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
xformers:  diffusers: 0.35.0.dev0 transformers: 4.53.2
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/briaai/BRIA-3.2 [651c6ef831] refiner: none vae: none te: none unet: none

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