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-400/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-400/optimizer.bin
- Command line
-
hf download hf://tsinglin/save_models_0302/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tsinglin/save_models_0302/resolve/main/checkpoint-400/optimizer.bin
6.53 MB
- Xet hash:
- d21dd9e6c1310bd1a55a56b75c0218bf734551ea314a7956a6467b9d04eb5bff
- Size of remote file:
- 6.53 MB
- SHA256:
- 86e005d131721273e204a78e6b6723cccf97fbd59347a282046c8c056c8d781e
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