Instructions to use cehongw/again with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cehongw/again with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cehongw/again", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/optimizer.bin from cehongw/again: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/cehongw/again/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://cehongw/again/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/cehongw/again/resolve/main/checkpoint-250/optimizer.bin
457 MB
- Xet hash:
- 04a067b3e6f07af1ecfb6a1f9d05c4b1e24f18b399a4ba73c9f3c1aa737a8ca6
- Size of remote file:
- 457 MB
- SHA256:
- a3722060ec7016d2b33dd40d659d5bd6a928102ba1bd37609f5cf2b7bf3e5501
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