Instructions to use Prgckwb/trpfrog-sd3.5-large-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prgckwb/trpfrog-sd3.5-large-lora 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-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Prgckwb/trpfrog-sd3.5-large-lora") prompt = "an icon of trpfrog eating ramen" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 777da550949d9ff8e8971abeae0b2f70e726a26fe5d55c1d05c49cc56f45b794
- Size of remote file:
- 47.2 MB
- SHA256:
- 5337e9df662bb15bd88e29445a2b3f9722ebdb47510c051487bb083cdd95d079
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.