Instructions to use onkarsus13/CVVAE_Modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/CVVAE_Modified with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onkarsus13/CVVAE_Modified", 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:
- 60e3e0dd487432cd1a8d393518322393fad6bd6f3a75a0aed986c0e29a895b37
- Size of remote file:
- 730 MB
- SHA256:
- db6d128fc5ad7ba6e79c8c6f5870f785b4b48e4d7e9180ccff4f0141ddd34c24
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