Instructions to use alphaduriendur/flux1-dev-lora-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alphaduriendur/flux1-dev-lora-weights 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("alphaduriendur/flux1-dev-lora-weights") prompt = "alphaduriendur" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add flux1-dev-lora-weights.safetensors
Browse files
flux1-dev-lora-weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e27c1cf544c1dd8e7c1f61b723098d69758a6daa10c69bf9210f42ec79856586
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size 89745224
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