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:
- fe6a9b7779c601761a8d42aba9f4d9c439446956a6e61cfa8a72763489640868
- Size of remote file:
- 457 MB
- SHA256:
- e861a64ccaedaec9990b8057db9b58003cab30883d7616a0499c4e37323a9fbb
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