Instructions to use LHRuig/hankbreak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/hankbreak 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/hankbreak") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- Hank_Break_sexy character.safetensors +3 -0
- images/suit.jpg +3 -0
Hank_Break_sexy character.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fcd3d1d41c50d0f8b0897a8fb41fe36772d3e8e9888be9b19dd804a61edcc48
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size 153275712
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images/suit.jpg
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Git LFS Details
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