Product Image Style Remix
openai/gpt-image-2 · Image to imageUpload a reference and your product image to recreate the composition, colors, and mood in a new product visual.
Upload a reference and your product image to recreate the composition, colors, and mood in a new product visual.
Upload photos and choose from 8 styles for each row: travel sketch, photo doodle, palette-knife painting, 3D paper sculpture, rough relief, real-world fairytale, and two anime styles. Generate one image per row and compare multiple styles for the same photo.
Enter prompts to generate illustrations, scenes, and visual assets in batches.
Upload a reference and your product image to create a product visual with similar composition, colors, and lighting.
Enter a complete image prompt to directly generate the 9:16 article picture; used to render the image description produced by the upstream such as naming engineers into the article picture.
Enter a context description of a product/application/market/customer group, and deduce three mutually exclusive real user portraits based on the 6-field portrait system of "Meta Portrait Builder", and automatically generate a matching portrait poster.
Upload a product screenshot/advertising poster/UI screenshot, automatically interpret it based on the text.vision multi-modal model, and output a structured Design.md document: YAML Front Matter at the top defines a machine-readable design token (primary_color / accent_color / font_serif / font_sans / spacing_unit / border_radius), click Overview / Colors / Typography / Layout / Elevation & Depth / Shapes / Components / Do's and Don'ts Eight chapters illustrate design concepts. Design tokens that cannot be inferred will be marked unknown and will never be made up. The new version is based on template-spec/v2 spec and uses the google/gemini-3-flash model.
Convert resume content into short, clear graphic posters
The user provides a book title + notes/original text/after-reading impressions, which are split into 10 cognitive cards according to the "Cognitive Dimensionality Reduction Master" methodology, and 10 independent Xiaohongshu single card posters are generated (8 sets of color combinations available). The new version is based on template-spec/v2 spec.
Rewrite a paper or academic document of less than 5,000 characters into a more natural and popular expression, while maintaining professionalism and retaining core terms, data, formulas, citations and conclusions; no AIGC test results are promised.
Enter a text description of the product idea, automatically reverse the structured product definition (pre-input + MVP functional scope + application scenario + verification standard), and generate a prototype concept information map.
Enter a text description of the field/scenario/pain point/goal, and based on the hard-core axioms of cognitive science × neuroscience × evolutionary psychology × engineering, create a "cognitive prosthetic" method product that ordinary people can get started immediately.
Input a brand brief, based on Mizuno's taste methodology, sound symbolism, polarization test and ten-year compound interest framework, and output 3 differentiated brand name candidates, each including pronunciation, design intention, knowledge mapping, risk reminder and best application.
OPC Entrepreneurship AI Financing Consultant · Financing Diagnosis Workflow (v3.0.8). Enter entrepreneurial project information, automatically complete 8-dimensional financing diagnostic scoring, and output a complete diagnostic report including key risks/recommended investors/assessment conclusions/disclaimer suffixes; support the generation of investment banking reports that comply with HTML design specifications.
Convert subjective text data such as questionnaire responses, user interviews, and feedback texts in batches into insight reports with original text citations and topic clustering. It supports 15 preset scenario templates (product satisfaction, user churn, NPS reputation, employee satisfaction, etc.), automatically completes item-by-item structured extraction and cross-sample topic clustering, and outputs executive summaries, topic cluster analysis, dimensional insights and action suggestions. Suitable for product managers, user researchers, operations teams and HR.