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:
- 144d793c1a7138ac8e2db0158d27d6fc67edcfc9f913739d03b7702e6132635b
- Size of remote file:
- 563 Bytes
- SHA256:
- 117689eedf865bba07665f2a2ebc36db1949ae4e74fdb27aebee8dcda8b56572
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