Instructions to use tsinglin/save_models_0302 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tsinglin/save_models_0302 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("tsinglin/save_models_0302") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from tsinglin/save_models_0302: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/tsinglin/save_models_0302/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://tsinglin/save_models_0302/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tsinglin/save_models_0302/resolve/main/checkpoint-100/optimizer.bin
6.53 MB
- Xet hash:
- a6d6ed742f58778699aa17d6a721a0b4ad032f7e79ae2f11a36f989bf66978a6
- Size of remote file:
- 6.53 MB
- SHA256:
- 54e80c77f75c754b2dda8ad08118c78fa621e815b7f55699d7345e8344e0ab6d
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