Instructions to use codyreading/custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codyreading/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("codyreading/custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab6bd7c5dcc8835622a29ee917c1ba8b2912fe79c7d7253da1b6ea53efde9e9a
- Size of remote file:
- 655 MB
- SHA256:
- 282f0ab72207b4c6ccc7ab4549f0a08de0d61c7f46d70ca7608dd7c601a61237
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