Instructions to use sanbaldo/BlackLinework with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanbaldo/BlackLinework 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("sanbaldo/BlackLinework") prompt = "v1d30g4m3 street fighter videogame scene" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
BlackLinework

- Prompt
- v1d30g4m3 street fighter videogame scene
Trigger words
You should use v1d30g4m3 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 sanbaldo/BlackLinework
Base model
black-forest-labs/FLUX.1-dev