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
Commit History
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#9)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (c7d8f326cd8ba1e7b27f620492d1a7fe5fe4a1cd) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>13e70f2
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Add Diffusers weights (#5)
- Add Diffusers weights (3b0b79efbdd0b0dcdba0e21df667636af05343ff) Co-authored-by: Multimodal AI art <multimodalart@users.noreply.huggingface.co>b137e00