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 V2gen1.jpg from ogkalu/Comic-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.69 MB
-
https://huggingface.co/ogkalu/Comic-Diffusion/resolve/main/V2gen1.jpg
- Command line
-
hf download hf://ogkalu/Comic-Diffusion/V2gen1.jpg
-
curl -L -o V2gen1.jpg https://huggingface.co/ogkalu/Comic-Diffusion/resolve/main/V2gen1.jpg
1.69 MB

- Xet hash:
- d9695dc63fd5003d4a85e42db7bc22e150b797e54319ab0cb2d514826ba0f163
- Size of remote file:
- 1.69 MB
- SHA256:
- da1d0c68a649f625bcce07021292d1c924c0ff5032a10a2ea4eef66ed0a76bf1
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