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-100/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-100/optimizer.bin
- Command line
-
hf download hf://llfkf/path-to-save-model/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/llfkf/path-to-save-model/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- c632cb09e826b1951c6d965fd3d5b148fed128d51128b88acfc5a5452bd911e9
- Size of remote file:
- 6.59 MB
- SHA256:
- 2928b6d9c7b8d14a759f8e1e23ebe913e124e2c3e749c6eca13c9eadd8a46154
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