1. Flux dev2pro 2. dropout 3. t5_attn_mask 1. Using Flux dev2pro as the base model to reduce the probability of image collapse.2. Increasing the dropout rate for better generalization.3. Employing the t5_attn_mask technique.
Input
Per image generation will cost 0.0047$
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Output
Idle
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