Instructions to use ogkalu/Comic-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ogkalu/Comic-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("ogkalu/Comic-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
Download generated1.jpg from ogkalu/Comic-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.77 MB
-
https://huggingface.co/ogkalu/Comic-Diffusion/resolve/refs%2Fpr%2F23/generated1.jpg
- Command line
-
hf download hf://ogkalu/Comic-Diffusion@refs/pr/23/generated1.jpg
-
curl -L -o generated1.jpg https://huggingface.co/ogkalu/Comic-Diffusion/resolve/refs%2Fpr%2F23/generated1.jpg
1.77 MB

- Xet hash:
- 475e832f4016c22474336d6a94233750c8129fb2a2e3dad5fbc64f3a02493f01
- Size of remote file:
- 1.77 MB
- SHA256:
- 05fc53f7edfc9462ac91ce46143d126cf51018684ca067b1c27a180e39d746b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.