Instructions to use man33sh/flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use man33sh/flux-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("man33sh/flux-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ce357bb02997db3c496df42ddd3494d8704f4ca4a8dcd6ea9590584991810d8f
- Size of remote file:
- 172 MB
- SHA256:
- 2e2164b9ac69c5b9580253d448594bb847f28b240fa3d8238ad96ca705d8d732
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