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 text_encoder/pytorch_model.bin from anmol-chawla/animecharacters: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/anmol-chawla/animecharacters/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://anmol-chawla/animecharacters/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anmol-chawla/animecharacters/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 14ddb255910ce7e5fdf3e5df5a282f13174906776d00d5e1cde0ee34fcc136a4
- Size of remote file:
- 246 MB
- SHA256:
- 8370905de8a36c8115094017839e34441cb3a0945b4cdae1d87279700cf24a7c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.