Instructions to use phxdev/flux-beetlejuice-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phxdev/flux-beetlejuice-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("phxdev/flux-beetlejuice-lora") prompt = "BEETLEJUICE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Create README.md
Browse files
README.md
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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tags:
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- flux
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- diffusers
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- lora
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- replicate
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base_model: black-forest-labs/FLUX.1-dev
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pipeline_tag: text-to-image
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instance_prompt: BEETLEJUICE standing at a bus stop
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widget:
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- text: >-
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a man standing at a bus stop BEETLEJUICE
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output:
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url: images/1.png
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