
Every AI tool generates one image at a time. You prompt, wait, review, prompt again and try doing that 100 times for a product launch. That's why we just launched https://t.co/cjVRRZiDK9 batch mode. How it works: → upload 100 product inputs (images, SKUs, briefs, whatever) https://t.co/OmeYoQCVBD
The Hook
“Every AI tool generates one image at a time. You prompt, wait, review, prompt again and try doing that 100 times for a product launch. That's why we just launched Playtor batch mode. Batch is the production layer of Playtor.”
Problem Agitation
“And now this is the place where you create your batch. So you can create a new batch. You can give it a name, for example, Patagonia Batch. And then you can create your workflow. So you can say, for example, I want to make the model wear the other outfits attached. Then you will send all that to Gemini, and then you will run it. When you see that this work, then you can go to the batch mode.”
Product Reveal
“And you will see the first row that you have made. And then you can upload your inputs. So you will click on upload, and then you can upload 100 inputs like here. And then you can see that you have 25 inputs. And then you can see that you have 175 credits. It's going to be, uh, you can lock the brief, for example. So you can say, I want to make the model wear the other outfit attached. But let's say you want a girl for example, delete.”
Feature Teaser
“And then you can click on Studio, and then you will get all your variations. So you can see that you have 11 outputs. You can review three, keep six, discard four. And then you can see that you have all your outputs right there. So you can click on one of them, and then you can see the prompt. You can edit the prompt, or you can discard or make simple edit. So you can say, for example, I want to change the color of the shorts to blue. And then you can see that it's going to change the color of the shorts to blue. And then you can keep it, and make sure this is production ready.”
Call to Action
“It really help you to make all your catalog. So if you have 1000 images, you can generate 1000 images in one click. So if you want to try it, just reach out to me, and I will be happy to onboard you to this new feature. Thank you.”
Synthesizable in Remotion · key components of the ai-batch-mode-explainer template.
A live presenter's headshot is overlaid on a screen recording of a software interface. The screen content dynamically updates and animates while the presenter speaks, maintaining a consistent visual hierarchy.
Use a <Video> component for the screen recording and an <Img> or <Video> component for the presenter's headshot, positioned with absolute CSS. Synchronize screen recording events (e.g., UI clicks, text input) with audio cues using `useCurrentFrame()` and `interpolate()` for precise timing. Implement `z-index` to ensure the presenter overlay is always on top.
A table-like UI component rapidly populates with new rows of data, simulating user input or batch processing. Individual cells within the rows can be highlighted or modified, demonstrating interactive features like locking or editing.
Utilize a `Sequence` of `AbsoluteFill` or `Div` components for each row. Animate the `opacity` and `transform` (e.g., `translateY`) of new rows to slide in. Use `interpolate()` with `spring()` for a bouncy effect on row additions. Highlight specific cells or rows by animating their `backgroundColor` or `border` properties based on user interaction cues in the script.
A grid of generated images appears, allowing for selection, review, and editing of individual items. Actions like 'Keep' or 'Discard' are visually represented by changes in button states and image filtering.
Render a grid of `Img` components within a `Grid` layout. Animate the `scale` and `opacity` of selected images for a focus effect. Use `interpolate()` to transition button states (e.g., 'Keep' button changing color) and filter images out of the grid when 'Discard' is pressed. Implement a `Sequence` to control the timing of image generation and review steps.
Purpose. Immediately highlight the pain point of current AI image generation workflows (one-by-one processing) to establish relevance.
Execution. Presenter directly addresses the camera, followed by a screen capture showing a single image generation, then a quick cut to the 'Batch' documentation page.
Purpose. Demonstrate the ease of setting up a batch workflow, emphasizing flexibility and control over inputs and prompts.
Execution. Live UI walkthrough of creating a new batch, naming it, defining a brief, attaching models, and configuring parameters within the Playtor interface.
Purpose. Showcase the core value proposition: processing hundreds or thousands of inputs simultaneously with consistent quality.
Execution. Rapid upload of multiple inputs (simulated file explorer), dynamic population of a batch table with many rows, and locking of parameters for mass application.
Purpose. Illustrate the post-generation workflow, including reviewing outputs, making edits, and preparing content for production.
Execution. Display of a grid of generated outputs, selection of an individual output for detailed review, live editing of a prompt to modify an image, and the 'Keep'/'Discard' actions.
Objective
A marketing agency needs to quickly generate 50 short social media video ads from a single template, each with different product images and text overlays, using an AI video editing tool.How the recipe adapts
The 'DynamicUIPresenterOverlay' will show the agency's creative director explaining the challenge. The 'InteractiveTableDataPopulator' will be adapted to show a table of 50 video clips, each with editable fields for product image URLs and ad copy. The 'ContentGridReviewFlow' will display a grid of 50 generated video previews, allowing the director to quickly review, make minor text edits, and approve them for export, emphasizing the speed and scale of FrameFlow's batch rendering.Scene durations (5 scenes, 172s)
Key Remotion components
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