Instructions to use Kutefvsadgasdg/ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kutefvsadgasdg/ad with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kutefvsadgasdg/ad", 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 preprocessor_config.json from Kutefvsadgasdg/ad: direct link, hf CLI and curl.
- Browser
- Download file 284 Bytes
-
https://huggingface.co/Kutefvsadgasdg/ad/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Kutefvsadgasdg/ad/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Kutefvsadgasdg/ad/resolve/main/preprocessor_config.json
284 Bytes
| { | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "VitMatteImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "rescale_factor": 0.00392156862745098, | |
| "size_divisibility": 32 | |
| } | |