Instructions to use Uglehs/ms-paint-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Uglehs/ms-paint-flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Uglehs/ms-paint-flux") prompt = "MSPaint portrait , MSPaint drawing, 1girl, bare arms, blue ribbon, bouquet, bow, collarbone, dress, flower, grey dress, hat, hat bow, holding, holding bouquet, long dress, long hair, looking at viewer, purple bow, purple hair, ribbon, sleeveless, sleeveless dress, solo, standing, straight hair, straw hat, sun hat, sundress, sunflower, very long hair, yellow eyes, yellow flower, yellow headwear" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ms-paint-flux

- Prompt
- MSPaint portrait , MSPaint drawing, 1girl, bare arms, blue ribbon, bouquet, bow, collarbone, dress, flower, grey dress, hat, hat bow, holding, holding bouquet, long dress, long hair, looking at viewer, purple bow, purple hair, ribbon, sleeveless, sleeveless dress, solo, standing, straight hair, straw hat, sun hat, sundress, sunflower, very long hair, yellow eyes, yellow flower, yellow headwear
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 Uglehs/ms-paint-flux
Base model
black-forest-labs/FLUX.1-dev