controlnet-chaeyeonl33/controlnet_inpainting_shuffle

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

prompt: Temp7 11,Temp5 11,Temp6 11,Temp2 16,Temp4 11,B2Pwr 3000,SPwr 2800,Temp3 11,GasE 900,Time 200,GasA 190,Temp1 16,Step A1 prompt: SPwr 2800,Temp5 11,GasA 190,Temp4 11,Temp1 16,Time 200,Temp6 11,GasE 900,B2Pwr 3000,Temp2 16,Temp3 11,Step A1,Temp7 11 prompt: Temp5 11,GasE 900,Temp4 11,Temp1 16,Temp7 11,Step A1,Temp2 16,Time 200,Temp6 11,Temp3 11,SPwr 3000,B2Pwr 3000,GasA 190 prompt: Step A1,Time 200,GasA 190,Temp3 11,GasE 900,Temp1 16,Temp7 11,Temp5 11,Temp6 11,Temp4 11,Temp2 16,B2Pwr 2600,SPwr 3000

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]