Instructions to use nitrosocke/classic-anim-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/classic-anim-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/classic-anim-diffusion", 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
Commit History
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add diffusers weights
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add tags for discoverability (#2)
- add tags for discoverability (3a445347157a4da1109f27eaa1d60ac41e34845b) Co-authored-by: 🤗 <clem@users.noreply.huggingface.co>6e5f0e8 -
Update README.md
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Upload 3 files
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Upload classicAnim-v1.ckpt
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initial commit
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