Capability
Iterative Image Refinement
20 artifacts provide this capability.
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via “refiner model integration for iterative quality improvement”
text-to-image model by undefined. 20,22,003 downloads.
Unique: Implements two-stage generation with separate refiner model that continues from base model latents, enabling optional quality improvement without increasing base model size; supports flexible composition of base and refiner for quality/latency tradeoff
vs others: More modular than single-stage models (refiner is optional); enables quality improvement without retraining base model; comparable to other two-stage approaches but with better integration and documentation