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
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Download README.md from itsVilen/Mspaint: direct link, hf CLI and curl.
- Browser
- Download file 748 Bytes
-
https://huggingface.co/itsVilen/Mspaint/resolve/main/README.md
- Command line
-
hf download hf://itsVilen/Mspaint/README.md
-
curl -L -o README.md https://huggingface.co/itsVilen/Mspaint/resolve/main/README.md
748 Bytes
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: joe biden
output:
url: images/Biden.jpeg
- text: john wick
output:
url: images/ComfyUI_13028_.jpeg
- text: Thor and Loki
output:
url: images/téléchargement (32).jpeg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: MSPaint portrait, MSPaint drawing
license: apache-2.0
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.