Instructions to use Muapi/zelda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/zelda 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/zelda") 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:
- 4bb75a027bb3a94ffbea975b1c2b1e3b19d7f38d3ffcd3dbe1c8248bdd26165c
- Size of remote file:
- 227 kB
- SHA256:
- 8e34ad05e5c0a49c41da93c44896446ae25f75c479da6c23652867d7dddcd7f5
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