Instructions to use codyreading/custom_diffusion-noprior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codyreading/custom_diffusion-noprior 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-noprior", 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:
- 871284460d8563e597c0388ac756dea5fd49c38c004881d76aa76ea4b704faaa
- Size of remote file:
- 76.7 MB
- SHA256:
- 89742c0c064edac26ca24cc5cc6b9730ae1d23306e18f605597ff13e2832ff79
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