Instructions to use fyhj/wally with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fyhj/wally with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fyhj/wally", 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:
- c1189d44336a12b22c5e84a59a7477b7639c581356abbe8beebe1721babba4e1
- Size of remote file:
- 492 MB
- SHA256:
- 1778a1d1dcc8a19df4af0f810bf0537926995cf3513f68623f80c0b2785e0f8b
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