Instructions to use lllyasviel/paints_undo_single_frame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/paints_undo_single_frame with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lllyasviel/paints_undo_single_frame", 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:
- 18bd56285578c9a05a5ad7552488784d8d9250b764a2ebe26390ed28764e1a7a
- Size of remote file:
- 1.72 GB
- SHA256:
- c0580514df2a046b29c7fbf6b86668aa6b09c4f891016e04bc4ad3e987be15ba
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