Instructions to use ankush-003/retinal_fundus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ankush-003/retinal_fundus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ankush-003/retinal_fundus", 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 checkpoint-2000/optimizer.bin from ankush-003/retinal_fundus: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/ankush-003/retinal_fundus/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://ankush-003/retinal_fundus/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ankush-003/retinal_fundus/resolve/main/checkpoint-2000/optimizer.bin
910 MB
- Xet hash:
- 14b9fd225d57258de3b0d728dbbca5a43f6ecfee3eeb90d07ec9e9f374749ce8
- Size of remote file:
- 910 MB
- SHA256:
- ebc5c442c0b09066f602a045705c11e6fc206563d28289985e6c059c64369296
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