Instructions to use NO8D/HighResolution with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/HighResolution with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NO8D/HighResolution", dtype=torch.bfloat16, device_map="cuda") prompt = "High Resolution" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download HighQuality.safetensors from NO8D/HighResolution: direct link, hf CLI and curl.
- Browser
- Download file 229 MB
-
https://huggingface.co/NO8D/HighResolution/resolve/main/HighQuality.safetensors
- Command line
-
hf download hf://NO8D/HighResolution/HighQuality.safetensors
-
curl -L -o HighQuality.safetensors https://huggingface.co/NO8D/HighResolution/resolve/main/HighQuality.safetensors
229 MB
- Xet hash:
- 061cc035e907b798e78f589e31d1ee85d67656906570cd8f4c9be861683741c5
- Size of remote file:
- 229 MB
- SHA256:
- 6026c1c4338a0f2be302c39543897ccd8e65d4b664611b2b8f74be4e14daf36d
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