Instructions to use muchojarabe/muxoyara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use muchojarabe/muxoyara with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("muchojarabe/muxoyara", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4861b62fdadbaa4e731232d4da51d0175ebe354eddc1c407f17029be1753f041
- Size of remote file:
- 1.72 GB
- SHA256:
- 7d8008f6907ed381bf86e2f48981282443f227009bcd1acbf04c2489e4becd9d
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