Input preprocessing for generating images of synthetic products

A non-transitory, computer-readable storage medium comprising instructions recorded thereon, wherein the instructions, when executed by at least one data processor of a system, cause the system to:

• receive user input including at least one of a text-based input or an image input indicative of a conceptual product;
• select a particular ML model from among a set of ML models based on a characteristic of the conceptual product, wherein to select the particular ML model from among the set of ML models comprises:
• determine that the characteristic of the conceptual product is indicative of a particular artistic style of conceptual products,
• wherein each of the set of ML models is configured to generate one or more images of synthetic products for different categories of products, and wherein the particular ML model is configured to generate the one or more images of the synthetic product for the particular artistic style of conceptual products, and to generate the one or more images of the synthetic product that represents the conceptual product in accordance with the characteristic;
• configure, based on the user input, a text-based prompt instruction as an input to the selected ML model,
• wherein the text-based prompt instruction is configured to direct an output of the selected ML model in accordance with the characteristic of the conceptual product, and
• generate, based on the text-based prompt instruction to the selected ML model, the one or more images of the synthetic product having one or more physical attributes.

A system comprising:

• at least one hardware processor;
• and
• at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
• receive user input including at least one of a text-based input or an image input indicative of a conceptual product;
• select a particular ML model from among a set of ML models based on a characteristic of the conceptual product, wherein to select the particular ML model from among the set of ML models comprises:
• determine that the characteristic of the conceptual product is indicative of a particular category of conceptual products,
• wherein each of the set of ML models is configured to generate one or more images of synthetic products for different categories of products, and wherein the particular ML model is configured to generate the one or more images of the synthetic product for the particular category of conceptual products, and to generate the one or more images of the synthetic product that represents the conceptual product in accordance with the characteristic;
• configure, based on the user input, a text-based prompt instruction as an input to the selected ML model,
• wherein the text-based prompt instruction is configured to direct an output of the selected ML model in accordance with the characteristic of the conceptual product;
• and
• generate, based on the text-based prompt instruction to the selected ML model, the one or more images of the synthetic product having one or more physical attributes.