Instructions to use itsVilen/Mspaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use itsVilen/Mspaint 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("itsVilen/Mspaint") prompt = "joe biden" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
MsPaint

- Prompt
- joe biden

- Prompt
- john wick
.jpeg)
- Prompt
- Thor and Loki
Trigger words
You should use MSPaint portrait to trigger the image generation.
You should use MSPaint drawing to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for itsVilen/Mspaint
Base model
stabilityai/stable-diffusion-xl-base-1.0