Instructions to use LHRuig/broill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/broill 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("LHRuig/broill") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
bro-illustration-sexy checkpoint.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dcc3ff14068e8a5ab64064c6cf90567d35f5388659f64a22d106497abdaad8bd
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size 39767744
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images/suit.jpg
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Git LFS Details
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