Instructions to use microsoft/vq-diffusion-ithq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use microsoft/vq-diffusion-ithq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/vq-diffusion-ithq", 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
Commit History
-
Update README.md
592fb83 -
Update README.md
56f5cfa -
up
166ec28 -
up
811b8a1 -
update weights
eff8291
-
Update README.md
b3e48e9 -
Update README.md
e5479e0
-
Update README.md
0c38100 -
Update README.md
d9901f3
-
fix
8ac1cd1 -
final
b4034ce -
Update transformer/config.json
e89ddfe
-
Create README.md
48184f0 -
upload model
4e2e12c -
initial commit
48db21b