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:
- d0c9adc068c0ed82d0bef2dc83925e883867dc0be4cbd78841fa68e8816af236
- Size of remote file:
- 176 MB
- SHA256:
- 335263b7d75eea0c59650547e73a0c39c942feb9773cae9a5330d79320bb93bb
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