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
- Xet hash:
- eac160d37adbbf343c9c95f069947f99eea9e20b11dfe8664e43038e9392b1a6
- Size of remote file:
- 128 MB
- SHA256:
- 8327eea8b516341a51403ab79c1c165d178b7a3053aac552a2243730ceb8b9b4
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