Instructions to use uzui7777/tar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uzui7777/tar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/BFL-FLUX.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("uzui7777/tar") prompt = "Convert Sketch To Image" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Tar

- Prompt
- Convert Sketch To Image
- Negative Prompt
- NA
Trigger words
You should use tarina to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for uzui7777/tar
Base model
Runware/BFL-FLUX.2-klein-base-9B