Instructions to use dg845/unidiffuser-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/unidiffuser-diffusers-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/unidiffuser-diffusers-test", 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/preprocessor_config.json from dg845/unidiffuser-diffusers-test: direct link, hf CLI and curl.
- Browser
- Download file 378 Bytes
-
https://huggingface.co/dg845/unidiffuser-diffusers-test/resolve/d3366fa95bafebebc42e8152aab3e6de89fcd5a8/image_encoder/preprocessor_config.json
- Command line
-
hf download hf://dg845/unidiffuser-diffusers-test@d3366fa95bafebebc42e8152aab3e6de89fcd5a8/image_encoder/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/dg845/unidiffuser-diffusers-test/resolve/d3366fa95bafebebc42e8152aab3e6de89fcd5a8/image_encoder/preprocessor_config.json
378 Bytes
| { | |
| "crop_size": 32, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "CLIPFeatureExtractor", | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "processor_class": "CLIPProcessor", | |
| "resample": 3, | |
| "size": 32 | |
| } | |