Instructions to use DEVAIEXP/DiffusersWebUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DEVAIEXP/DiffusersWebUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DEVAIEXP/DiffusersWebUI", 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 image_encoder/model.safetensors from DEVAIEXP/DiffusersWebUI: direct link, hf CLI and curl.
- Browser
- Download file 2.53 GB
-
https://huggingface.co/DEVAIEXP/DiffusersWebUI/resolve/main/image_encoder/model.safetensors
- Command line
-
hf download hf://DEVAIEXP/DiffusersWebUI/image_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/DEVAIEXP/DiffusersWebUI/resolve/main/image_encoder/model.safetensors
2.53 GB
- Xet hash:
- 0a03e70bd2ad910201162865af9a3199938a6ddc83ad0e4ecbfcea1363adcf2c
- Size of remote file:
- 2.53 GB
- SHA256:
- 6ca9667da1ca9e0b0f75e46bb030f7e011f44f86cbfb8d5a36590fcd7507b030
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