Instructions to use jyp96/rc_car with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/rc_car 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("jyp96/rc_car") prompt = "A photo of sks rc_car in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
End of training
Verified signaturea9fb07f -
End of training
Verified signature645c3ee -
End of training
Verified signature5eb8b5a -
End of training
Verified signatured467801
-
End of training
Verified signature81d7686 -
End of training
Verified signature6e757ae -
End of training
Verified signature2ded477 -
End of training
Verified signaturefba0f05 -
End of training
Verified signature7aad131 -
End of training
Verified signature3e88734 -
End of training
Verified signaturec0db201 -
End of training
Verified signature4f696f5
-
End of training
Verified signature9615859 -
End of training
Verified signature36bf8fc -
End of training
Verified signature2cf6b73 -
End of training
Verified signature397c876
-
End of training
Verified signature3039b6f
-
End of training
Verified signaturef67e961 -
End of training
Verified signature348caae -
End of training
Verified signature16e757c -
End of training
Verified signaturef83aa9f -
End of training
Verified signature26af7cc
-
End of training
Verified signaturee30ae2b -
End of training
Verified signaturee8ae8c2 -
initial commit
Verified signature0975f5a