Instructions to use anmol-chawla/animecharacters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anmol-chawla/animecharacters with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anmol-chawla/animecharacters", 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 vae/diffusion_pytorch_model.bin from anmol-chawla/animecharacters: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/anmol-chawla/animecharacters/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://anmol-chawla/animecharacters/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/anmol-chawla/animecharacters/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- b6f8a6282f4c923190b41104fa80ed8cc8b4974fef9a1bd70a8982dfffe02185
- Size of remote file:
- 335 MB
- SHA256:
- 06f16810e6c06ee79c2aae1ca7061a8f4291960d9d2d81f1e3de2d9442136f43
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