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
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hf download hf://itsVilen/Mspaint/README.md
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curl -L -o README.md https://huggingface.co/itsVilen/Mspaint/resolve/main/README.md
748 Bytes
| 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 | |
| <Gallery /> | |
| ## 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](/itsVilen/Mspaint/tree/main) them in the Files & versions tab. | |