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
Download checkpoint-750/optimizer.bin from codyreading/custom_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 655 MB
-
https://huggingface.co/codyreading/custom_diffusion/resolve/main/checkpoint-750/optimizer.bin
- Command line
-
hf download hf://codyreading/custom_diffusion/checkpoint-750/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/codyreading/custom_diffusion/resolve/main/checkpoint-750/optimizer.bin
655 MB
- Xet hash:
- ab6bd7c5dcc8835622a29ee917c1ba8b2912fe79c7d7253da1b6ea53efde9e9a
- Size of remote file:
- 655 MB
- SHA256:
- 282f0ab72207b4c6ccc7ab4549f0a08de0d61c7f46d70ca7608dd7c601a61237
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