Instructions to use AlexWortega/AnimeDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexWortega/AnimeDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlexWortega/AnimeDiffusion", 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
Download text_encoder/pytorch_model.bin from AlexWortega/AnimeDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/AlexWortega/AnimeDiffusion/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AlexWortega/AnimeDiffusion@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlexWortega/AnimeDiffusion/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 6184d292409d24d263234b9aa4543ccddbc6a5d6d7270e6c30ad3e3e2a22c9bd
- Size of remote file:
- 492 MB
- SHA256:
- 5dd9b0358a4e55636562b889a35463f7e39c85d9eefc5ce4819d39e5d038e8cc
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