Instructions to use MarcosRodrigo/lep-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarcosRodrigo/lep-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("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarcosRodrigo/lep-model") prompt = "a photo of lep" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from MarcosRodrigo/lep-model: direct link, hf CLI and curl.
- Browser
- Download file 444 MB
-
https://huggingface.co/MarcosRodrigo/lep-model/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://MarcosRodrigo/lep-model/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/MarcosRodrigo/lep-model/resolve/main/checkpoint-1500/optimizer.bin
444 MB
- Xet hash:
- 26dfa7ce04cb2a9b5dd1eb6321c4413cb959929aee7b91b77c1201992abb996b
- Size of remote file:
- 444 MB
- SHA256:
- 452f622b9b343b40dec23bc0fa44ed6c49fdb7b1298d6156fe881e9b7544ba64
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