Instructions to use piuzha/sdxl-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use piuzha/sdxl-distill with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("piuzha/sdxl-distill", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder_2/model.safetensors from piuzha/sdxl-distill: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/piuzha/sdxl-distill/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://piuzha/sdxl-distill/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/piuzha/sdxl-distill/resolve/main/text_encoder_2/model.safetensors
2.78 GB
- Xet hash:
- c52031ee023972f9953c3ef17455728f5163355c93d4d8257d0925198b21b6e7
- Size of remote file:
- 2.78 GB
- SHA256:
- 3a6032f63d37ae02bbc74ccd6a27440578cd71701f96532229d0154f55a8d3ff
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