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", torch_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
- Xet hash:
- 874708f989925d2ca25977c0e538db5453540c340ea0851796270aff97490deb
- Size of remote file:
- 3.49 MB
- SHA256:
- 8fc330034239436491d8bf23b6650c193cbecd47a0d7359bd2d6070a6c8a1bab
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