Instructions to use Kry4ta1/Effecteraser-VOR-Inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kry4ta1/Effecteraser-VOR-Inference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kry4ta1/Effecteraser-VOR-Inference", 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 checkpoints/common/lightvae.pth from Kry4ta1/Effecteraser-VOR-Inference: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/Kry4ta1/Effecteraser-VOR-Inference/resolve/main/checkpoints/common/lightvae.pth
- Command line
-
hf download hf://Kry4ta1/Effecteraser-VOR-Inference/checkpoints/common/lightvae.pth
-
curl -L -o lightvae.pth https://huggingface.co/Kry4ta1/Effecteraser-VOR-Inference/resolve/main/checkpoints/common/lightvae.pth
32.2 MB
- Xet hash:
- 5c33a0a9e18ad44de80b0fa8a0dfb18b5dcf45f51fed2494046ef65618e59625
- Size of remote file:
- 32.2 MB
- SHA256:
- d5d6b094d4829fb03b6179be2cf4589baab21c9fea1ca70dcaa8c85ba8183ec9
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