Instructions to use opendiffusionai/sd15vae-texttuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use opendiffusionai/sd15vae-texttuned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("opendiffusionai/sd15vae-texttuned", 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 vae_sample_14pt.webp from opendiffusionai/sd15vae-texttuned: direct link, hf CLI and curl.
- Browser
- Download file 66.8 kB
-
https://huggingface.co/opendiffusionai/sd15vae-texttuned/resolve/main/vae_sample_14pt.webp
- Command line
-
hf download hf://opendiffusionai/sd15vae-texttuned/vae_sample_14pt.webp
-
curl -L -o vae_sample_14pt.webp https://huggingface.co/opendiffusionai/sd15vae-texttuned/resolve/main/vae_sample_14pt.webp
66.8 kB
