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:
- 322b1bb7e6ec6107c48053ffe1e84d9cc61784b97fd43387ebaa51dbbc145179
- Size of remote file:
- 236 kB
- SHA256:
- 5a6a8c364b8711fe0da55c02913bf477fe39871d2f38fc04dc6a81913786cba2
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