Instructions to use wsmumumu/SAMPO_VQVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wsmumumu/SAMPO_VQVAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wsmumumu/SAMPO_VQVAE", 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
Download metadata.json from wsmumumu/SAMPO_VQVAE: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/wsmumumu/SAMPO_VQVAE/resolve/main/metadata.json
- Command line
-
hf download hf://wsmumumu/SAMPO_VQVAE/metadata.json
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curl -L -o metadata.json https://huggingface.co/wsmumumu/SAMPO_VQVAE/resolve/main/metadata.json
23 Bytes
| {"global_step": 195000} |