Instructions to use danbrown/ogkalu-comic-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/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("danbrown/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
- Draw Things
- DiffusionBee
- Xet hash:
- 963cb44d9af226407a79a0101f24b832c19ae5ae28e1a9bbeeb161bdaa625c13
- Size of remote file:
- 492 MB
- SHA256:
- 1d3f725c271619830fed9c70a5e12b6c69bdc27475b9d33458a78b0885a68153
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