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 V2gen3.jpg from ogkalu/Comic-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.85 MB
-
https://huggingface.co/ogkalu/Comic-Diffusion/resolve/refs%2Fpr%2F21/V2gen3.jpg
- Command line
-
hf download hf://ogkalu/Comic-Diffusion@refs/pr/21/V2gen3.jpg
-
curl -L -o V2gen3.jpg https://huggingface.co/ogkalu/Comic-Diffusion/resolve/refs%2Fpr%2F21/V2gen3.jpg
1.85 MB

- Xet hash:
- ac6a5f85183366810d90bf9d7e3d622fc337483ae5866665cce03d075d06a303
- Size of remote file:
- 1.85 MB
- SHA256:
- aab0635c23212f3ef067642ce6bd6cfcd28ddbb946840bdfed8e803c70a0b729
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