Instructions to use AdamOswald1/Anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamOswald1/Anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AdamOswald1/Anime", 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 `scale_factor` to vae config. (#4)
- Add `scale_factor` to vae config. (519432edca2f42b789278c8749103bf702bfbd22) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>454a84b
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Upload diffusion_pytorch_model.bin
412d94c -
Create vae/config.json
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