Instructions to use YucaCreative/flux_controlnet_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YucaCreative/flux_controlnet_lora 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("YucaCreative/flux_controlnet_lora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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flux1-canny-dev-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8eaa21b9c43d5e7242844deb64b8cf22ae9010f813f955ca8c05f240b8a98f7e
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size 1244443944
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images/46hCKqF7mz9DI_1oLYnj1.png
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Git LFS Details
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