Instructions to use sdyy/nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdyy/nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdyy/nf4", 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 text_encoder_2/gitattributes from sdyy/nf4: direct link, hf CLI and curl.
- Browser
- Download file 526 Bytes
-
https://huggingface.co/sdyy/nf4/resolve/main/text_encoder_2/gitattributes
- Command line
-
hf download hf://sdyy/nf4/text_encoder_2/gitattributes
-
curl -L -o gitattributes https://huggingface.co/sdyy/nf4/resolve/main/text_encoder_2/gitattributes
526 Bytes
| *.bin.* filter=lfs diff=lfs merge=lfs -text | |
| *.lfs.* filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |
| *.tflite filter=lfs diff=lfs merge=lfs -text | |
| *.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| *.ot filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |
| pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| t5xxl_fp8_e4m3fn.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |