Instructions to use rorito/SkinDetails with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/SkinDetails with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rorito/SkinDetails") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
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SkinDetails_flux_lora_v8.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:acb8e963a770c8d438c7b16bed47d376a220c8fc5c53a86ada2ae9d52a34821d
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size 171969491
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images/SkinDetails_flux_lora_v8__Weight-0.4_00001_.jpeg
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Git LFS Details
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