Instructions to use lora-library/felps-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/felps-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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/felps-model") prompt = "felps" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-600/optimizer.bin from lora-library/felps-model: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/felps-model/resolve/main/checkpoint-600/optimizer.bin
- Command line
-
hf download hf://lora-library/felps-model/checkpoint-600/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/felps-model/resolve/main/checkpoint-600/optimizer.bin
3.49 MB
- Xet hash:
- fc7cd8718c65d1becb44abb9c59a69e022a9a492393bad82e54916c7f7a38651
- Size of remote file:
- 3.49 MB
- SHA256:
- d050d43b504ddb6c546a688c6f863dd5497c16f902320581304ccd38765c8830
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