controlnet-Gitanjali1801/ctrl_b_and_b_2_july_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: John eagerly anticipated the annual company retreat, expecting a relaxing break and team bonding. However, recent layoffs had strained workplace morale, and tensions simmered beneath the surface. Minor disagreements throughout the day gradually escalated into a heated argument among a group of employees, drawing attention across the venue. The HR manager intervened, encouraging calm and rational discussion. The group eventually settled down, and by day's end, most had reconciled. John left hoping future events would foster more harmony and cooperation.
prompt: John, usually calm and composed, lost control one day in the park after enduring a stressful week. A cruel remark from a teenager about his family triggered him. Furious, he turned back, face flushed and fists clenched. In a moment of anger, he threw a punch, startling the teenager. Shocked by his own reaction, John quickly apologized. The teenagers, recognizing his regret, chose not to escalate. Sitting alone afterward, John reflected deeply, resolving to manage his emotions better in the future.
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]
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Model tree for Gitanjali1801/ctrl_b_and_b_2_july_2025
Base model
stabilityai/stable-diffusion-2-1-base