Instructions to use ShreyashDhoot/v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShreyashDhoot/v2 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/v2") 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
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README.md
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# ShreyashDhoot/v2
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**Last updated:** 2026-04-28 05:
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## Model Description
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## Checkpoints
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- `checkpoint--250`
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## Example Eval Outputs
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# ShreyashDhoot/v2
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**Last updated:** 2026-04-28 05:36
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## Model Description
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## Checkpoints
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- `checkpoint--250`
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- `checkpoint--500`
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## Example Eval Outputs
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