Instructions to use llfkf/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use llfkf/path-to-save-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("llfkf/path-to-save-model") prompt = "a photo of sks boy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-700/optimizer.bin from llfkf/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/llfkf/path-to-save-model/resolve/main/checkpoint-700/optimizer.bin
- Command line
-
hf download hf://llfkf/path-to-save-model/checkpoint-700/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/llfkf/path-to-save-model/resolve/main/checkpoint-700/optimizer.bin
6.59 MB
- Xet hash:
- bb6736acb237264b10b0b3dcee3a1313c49f64ec49682bba3879d67d2e268a5b
- Size of remote file:
- 6.59 MB
- SHA256:
- bc8ef4de15123e59d6f2792fe1dd97b5b5198801d5643ac77b66239da74804f1
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