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 generated2.jpg from ogkalu/Comic-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.55 MB
-
https://huggingface.co/ogkalu/Comic-Diffusion/resolve/refs%2Fpr%2F23/generated2.jpg
- Command line
-
hf download hf://ogkalu/Comic-Diffusion@refs/pr/23/generated2.jpg
-
curl -L -o generated2.jpg https://huggingface.co/ogkalu/Comic-Diffusion/resolve/refs%2Fpr%2F23/generated2.jpg
1.55 MB

- Xet hash:
- fe2b4b42dd3d1d4433352b36f9bc18a4151d6f8e3b74511ae9dd73aa95f43b99
- Size of remote file:
- 1.55 MB
- SHA256:
- 75883332a1c3783d085973df37a84f56ba9e0d178898a35689253184d7cc89ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.