Instructions to use siyich/ijd-unlearned-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siyich/ijd-unlearned-checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("siyich/ijd-unlearned-checkpoints", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download object/EraseDiff/EraseDiff-Tench-Diffusers-UNet.pt from siyich/ijd-unlearned-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/siyich/ijd-unlearned-checkpoints/resolve/main/object/EraseDiff/EraseDiff-Tench-Diffusers-UNet.pt
- Command line
-
hf download hf://siyich/ijd-unlearned-checkpoints/object/EraseDiff/EraseDiff-Tench-Diffusers-UNet.pt
-
curl -L -o EraseDiff-Tench-Diffusers-UNet.pt https://huggingface.co/siyich/ijd-unlearned-checkpoints/resolve/main/object/EraseDiff/EraseDiff-Tench-Diffusers-UNet.pt
3.44 GB
- Xet hash:
- fce2911e17ec5563e79392ffd0e01f9c3b61ccb7fad35abe0f20d508c2be0117
- Size of remote file:
- 3.44 GB
- SHA256:
- 13f8c78977504815fa98ace198ba1cc2a3032fcc24e66d95a9c1de1898784dcf
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