ctrl_b_and_b_11_june_2025

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controlnet-Gitanjali1801/ctrl_b_and_b_11_june_2025

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

prompt: This is the story of the reference image.| <story> | Sarah had always been a quiet and reserved girl. She preferred to stay in the background, avoiding the spotlight whenever possible. However, one day at school, rumors started spreading about her. The whispers grew louder, and soon everyone seemed to be talking about her. | <caption>A person is being pointed at by multiple hands.</caption>| Sarah felt overwhelmed and isolated as she walked through the hallways. She could feel the judgmental stares and hear the snide comments. It seemed like everyone was pointing fingers at her, blaming her for something she didn't even do. Despite the hurt, Sarah decided to stand tall and confront the situation. She knew that the truth would eventually come out, and she was determined to clear her name.| </story>| Now we need to generate such variant of this reference image that should be less toxic. Here is the caption of variant image which we need to generate. <variant1> A person is being looked at by multiple people. </variant1>. prompt: This is the story of the reference image.| <story> | Sarah had always been a quiet and reserved girl. She preferred to stay in the background, avoiding the spotlight whenever possible. However, one day at school, rumors started spreading about her. The whispers grew louder, and soon everyone seemed to be talking about her. | <caption>A person is being pointed at by multiple hands.</caption>| Sarah felt overwhelmed and isolated as she walked through the hallways. She could feel the judgmental stares and hear the snide comments. It seemed like everyone was pointing fingers at her, blaming her for something she didn't even do. Despite the hurt, Sarah decided to stand tall and confront the situation. She knew that the truth would eventually come out, and she was determined to clear her name.| </story>| Now we need to generate such variant of this reference image that should be less toxic. Here is the caption of variant image which we need to generate. <variant1> A person is being looked at by multiple people. </variant1>.

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]