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
- checkpoint--1000
- checkpoint--1250
- checkpoint--1500
- checkpoint--1750
- checkpoint--2000
- checkpoint--2250
- checkpoint--250
- checkpoint--2500
- checkpoint--2750
- checkpoint--3000
- checkpoint--3250
- checkpoint--3500
- checkpoint--3750
- checkpoint--4000
- checkpoint--4250
- checkpoint--4500
- checkpoint--4750
- checkpoint--50
- checkpoint--500
- checkpoint--5000
- checkpoint--5250
- checkpoint--5500
- checkpoint--750