Instructions to use henry-y/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use henry-y/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("henry-y/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:
- 974fd1f16205f19970e9097d62e0d0fccbce876456e3b7eb9027e11cfa061ebe
- Size of remote file:
- 173 MB
- SHA256:
- d307cbcc7a3cbbfc5e5b663710390a3b1c321bf8fa6b04244ca71c1bfc3ccace
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