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-500/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-500/scheduler.bin
- Command line
-
hf download hf://codyreading/custom_diffusion/checkpoint-500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/codyreading/custom_diffusion/resolve/main/checkpoint-500/scheduler.bin
563 Bytes
- Xet hash:
- 24b96dd37c9e057e20853e023c072374cdfb4cb59c9baad42e09852b61c80c86
- Size of remote file:
- 563 Bytes
- SHA256:
- e2f2ca51f89f4a77d34f15dc90eb3a3f812c43e985cbc446d4bfa93ef5a11ce8
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