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/scheduler.bin from codyreading/custom_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/codyreading/custom_diffusion/resolve/main/checkpoint-750/scheduler.bin
- Command line
-
hf download hf://codyreading/custom_diffusion/checkpoint-750/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/codyreading/custom_diffusion/resolve/main/checkpoint-750/scheduler.bin
563 Bytes
- Xet hash:
- 9b8ff19bb95968838f10934404533a1683bb234dc7fa892ca7a91cdc11150d19
- Size of remote file:
- 563 Bytes
- SHA256:
- 0b00090be833707302b240168ea06db60bae6a49b77fbf8fe0fdfdefa1018361
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