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:
- 4a9039915aa0e7cc03bc61e474587296a21842d73be8c5361e88cd2c76c81a3e
- Size of remote file:
- 613 MB
- SHA256:
- 9ea1aa08abfd9dba2e4577c6932133b0288473e15f7f6c9ea183eeb58abaa5b5
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