Instructions to use VitoCorleone72/Angela with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VitoCorleone72/Angela 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("VitoCorleone72/Angela") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
angela_token_angela_r8_flux_lora_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:caf441e5d371d82a9ae1e59aac4622be31693001fdfcd6e0507f7aa34ff7b98a
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size 86049910
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images/00098-[flux1-dev-fp8]_3946775651.jpeg
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Git LFS Details
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