lucataco / flux.1-controlnet-lineart-promeai

Controlnet trained on black-forest-labs/FLUX.1-dev with lineart condition

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  • 54 runs
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Input

Output

Examples

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Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

promeai/FLUX.1-controlnet-lineart-promeai

promeai/FLUX.1-controlnet-lineart-promeai holds controlnet weights trained on black-forest-labs/FLUX.1-dev with lineart condition.

Here are some example images.

prompt: cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open holding a fancy black forest cake with candles on top in the kitchen of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere | input-control | result image | | - |- | | input-control) | output) |

How to use with comfyui

An example comfyui workflow is also provided.

Limitations and bias

  • This model is not intended or able to provide factual information.
  • As a statistical model this checkpoint might amplify existing societal biases.
  • The model may fail to generate output that matches the prompts.
  • Prompt following is heavily influenced by the prompting-style.

Training details

This controlnet is trained on one A100-80G GPU, with carefully selected proprietary real-world images dataset, with imagesize 512 + batchsize 3 (earlier period), and imagesize 1024 + batchsize 1 (after 512 training). With above configs, the GPU memory was about 70G and takes around 3 days to get this 14000steps-checkpoint.

Licensing and commercial use

If you generate images on Replicate with FLUX.1 models and their fine-tunes, then you can use the images commercially.

If you download the weights off Replicate and generate images on your own computer, you can’t use the images commercially.