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
Commit History
-
Upload folder using huggingface_hub
0f42d3e -
Upload model_index.json with huggingface_hub
4ae29a2 -
Upload folder using huggingface_hub
f3301f1 -
Upload folder using huggingface_hub
44333b1 -
Upload folder using huggingface_hub
6440aed -
Upload folder using huggingface_hub
924f764 -
Upload folder using huggingface_hub
96cca03 -
Upload folder using huggingface_hub
37e0bac -
Upload folder using huggingface_hub
0c48d1e -
Upload the concept wally embeds and token
d5776dd -
initial commit
6a731b3