Instructions to use Evel/YoShin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Evel/YoShin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Evel/YoShin", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8b497090e91739c849bcb3571f5986ddc7e2c45dcb402f334075ff0d9abafee0
- Size of remote file:
- 2.13 GB
- SHA256:
- 4dd8af0ee402ecde23fd39665ee68ed68ca79d4021b4ec293a57645a60eeafc8
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