Instructions to use ShreyashDhoot/v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShreyashDhoot/v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ShreyashDhoot/v3") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Ctrl+K
- 392 kB xet
- 366 kB xet
- 401 kB xet
- 455 kB xet
- 410 kB xet
- 428 kB xet
- 426 kB xet
- 434 kB xet
- 443 kB xet
- 377 kB xet
- 409 kB xet
- 364 kB xet
- 422 kB xet
- 441 kB xet
- 412 kB xet
- 382 kB xet
- 464 kB xet
- 395 kB xet
- 407 kB xet
- 479 kB xet
- 434 kB xet
- 428 kB xet
- 408 kB xet
- 546 kB xet
- 387 kB xet
- 357 kB xet
- 373 kB xet
- 385 kB xet
- 398 kB xet
- 428 kB xet