Exam NCA-GENM Topic 1 Question 18 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 18
Topic #: 1
You have trained a text-to-image diffusion model. During inference, you notice that the generated images often lack fine-grained details and appear blurry. Which of the following techniques could you apply to improve the image quality without retraining the model?

Suggested Answer: A Vote an answer

Increasing the number of diffusion steps during sampling allows the model to refine the generated image more thoroughly, leading to finer details and reduced blurriness. The guidance scale controls how closely the generated image adheres to the input text prompt; increasing it typically improves adherence but can sometimes reduce diversity. Batch size primarily affects computational efficiency. Reducing the learning rate is relevant during training, not inference. Adding model layers requires retraining.

by Valentine at Mar 09, 2026, 07:15 AM

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