Instructions to use Muapi/leftovers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/leftovers 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/leftovers") 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:
- df9f0c2c76c9cb9a7382ac42b777184e17ac4394036b2b23e3c4f7555eb18cd2
- Size of remote file:
- 332 kB
- SHA256:
- f6ab3084af87f990d3efa6ddac913198ce3888ee1a035f25eed22b22c4a4289d
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