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-200/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-200/optimizer.bin
- Command line
-
hf download hf://tsinglin/save_models_0302/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tsinglin/save_models_0302/resolve/main/checkpoint-200/optimizer.bin
6.53 MB
- Xet hash:
- 463122b65e3244ba763e23ca89847128f19a80be66f1c0f27389faa78c9b93a8
- Size of remote file:
- 6.53 MB
- SHA256:
- 003ad46df19652b55fd9b27d8427f92ddffbe1b8d215a8aca0faf7925b933dc1
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