Instructions to use fusing/vqgan-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/vqgan-dummy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/vqgan-dummy", 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:
- 4b3eaec90db0968f0e8f8a953e914a97ba519212181f6997a09c527ddd8c271e
- Size of remote file:
- 2.67 MB
- SHA256:
- d72a055b8397edb5c3d83cc0ddef69dce021275128ac7d92fc03557882838fea
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