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
- Draw Things
Ctrl+K
- .ipynb_checkpoints
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- eval_checkpoint--3000
- eval_checkpoint--3250
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- eval_checkpoint--4000
- eval_checkpoint--4250
- eval_checkpoint--4500
- eval_checkpoint--4750
- eval_checkpoint--500
- eval_checkpoint--5000
- eval_checkpoint--5250
- eval_checkpoint--5500
- eval_checkpoint--750
- metrics_plots
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