Instructions to use Jiahahaha/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jiahahaha/test1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jiahahaha/test1") prompt = "a photo of polyp" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from Jiahahaha/test1: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Jiahahaha/test1/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://Jiahahaha/test1/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jiahahaha/test1/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- 132896f9200ec0382f56d12f1860bb63bcf2dc60066a2f80568f89cbeaee8ff7
- Size of remote file:
- 6.59 MB
- SHA256:
- 295d6ac8e13d416d753f6933d23d6ba9ea73e08bd7a48fe345ac35cae9295255
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