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
- Draw Things
- DiffusionBee
- Xet hash:
- 885efb2ca870ad2cbb186e253211c4319fb75e4e64b57ec1baf8f8a2cc231506
- Size of remote file:
- 655 MB
- SHA256:
- 45d3a88030405ed289a8f77ae5a74f9909b413954d9d7e5b153b9b9cad5341c2
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