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
- Xet hash:
- a0e7601b90b5275a805a5dae15bffe73e383feccf918fe4a54373586c60832ee
- Size of remote file:
- 3.44 GB
- SHA256:
- 4a88e00ddc940dd2c7e80833e43b85def833f2f0cdf5f0bae3715cd3e4c72b11
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