Instructions to use Muapi/disco-diffusion-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/disco-diffusion-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("Muapi/disco-diffusion-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:
- 470e4acf3135433e8e2ba13358b72d659b8f5d9981017d2bce2ffddd1035c685
- Size of remote file:
- 19.3 MB
- SHA256:
- 956dbbe339f35c4d83b64abf02c397c2687f3e7d82a2cefbd383b55c1b5eaf51
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