Instructions to use briannlongzhao/karasu_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/karasu_custom_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("briannlongzhao/karasu_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a painting of a <new1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- ad72f34a226afd0cc6496a61bd9d2a7c397bd676a6a18f9c1951278b7a7fefcc
- Size of remote file:
- 102 MB
- SHA256:
- b492eb3babbf6d1b0be03b01a799920b608041dc5d7ecca63917abfe18de5fa0
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