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Multi-Dish Food Image Prompt & Generation Workflow

Multi-Dish Food Image Prompt & Generation Workflow

Official

Build a multi-dish AI food image pipeline in Nodespell that converts simple dish ideas into detailed prompts, then renders 2K 4:3 JPG photos with Google Nano Banana, Seedream, and Gemini 2.5 Flash working together.

Image Generation & Editing
Generated Assets(14 images)

Overview

This Nodespell snippet is a multi-dish AI food image prompt and generation workflow. It turns simple dish ideas into detailed visual prompts, then renders high‑resolution 4:3 food images using Google Nano Banana and Seedream models.

What You'll Build

  • A reusable pipeline that expands dish concepts into rich, camera-ready image prompts.
  • 2K, 4:3 food photos for menus, blogs, or social media, exported as JPGs.
  • Parallel image variants for multiple dishes in a single run.
  • Optional text extras (like jokes or captions) powered by Gemini 2.5 Flash.

How It Works

  1. You describe dishes or ingredients through the 11 input nodes, guided by 10 stickyNote instructions (for example, “Generate a detailed prompt for image generation of the dish #1/#6, include all visible ingredients”).
  2. Eight geminiText nodes call the gemini-2.5-flash model to expand each dish into a scene-level prompt: plating, lighting, background, camera style, and visible ingredients.
  3. These enriched prompts fan out into eight googleNanoBanana nodes configured to a 4:3 aspect ratio and JPG output, generating fast concept images and low-cost visual drafts.
  4. Once satisfied with prompts, they feed into six seedream image nodes (seedream4/5/6/7/8) set to 2K resolution (2048×2048), 4:3, max_images: 1, sequential_image_generation: disabled for sharp, production-ready renders.
  5. A stickyImage node can serve as an optional visual reference, helping align AI output to a brand or photography style.
  6. Twelve output nodes collect final images and text so you can review, compare dishes, and export for menus, posts, or recipe apps.

Best For

  • Food bloggers and creators needing consistent, high-quality dish imagery.
  • Restaurant owners and menu designers prototyping layouts and specials.
  • Recipe platforms and cooking apps generating scalable visual libraries.
  • AI artists and prompt engineers exploring food photography styles.
  • Marketing teams producing rapid A/B-tested visuals for campaigns.

Try this snippet in Nodespell to rapidly turn raw dish ideas into polished, high-resolution food visuals.

Used Nodes (3)
Google Nano Banana
Google Nano Banana
Google's advanced image editing and generation model from Gemini 2.5. ## Model Overview Gemini 2.5 Flash Image is a state-of-the-art multimodal model from Google, designed for creative workflows that involve image generation and editing. It natively understands and generates images, enabling a unified process for creating and refining visuals. ## Best At - Seamlessly combining multiple images into a new visual (Multi-image Fusion). - Maintaining character, object, or style consistency across different prompts and images. - Performing precise, targeted edits using natural language descriptions (Conversational Editing). - Complex visual reasoning tasks that require understanding beyond simple photorealism. ## Limitations / Not Good At - While powerful, specific limitations regarding complex scene generation or highly detailed fine-tuning are not explicitly detailed in the provided documentation. ## Ideal Use Cases - Integrating products into new scenes. - Restyling rooms by merging furniture and decor images. - Generating a series of cohesive visual assets for storytelling or branding. - Creating targeted edits like blurring backgrounds, removing objects, or altering poses. - Interpreting diagrams or following multi-step visual instructions. ## Input & Output Format Input: Text prompt, optional input images (array), optional output format (string). Output: Image (URI). ## Performance Notes - Designed for fast, conversational, and multi-turn creative workflows. - Supports efficient handling of image data through the Gemini API's File API for larger files and repeated use. - All generated or edited images are embedded with an invisible SynthID watermark for transparency.
Image EditImage Gen
NTNodespell Team
AI / Image / Google
Seedream 4
Seedream 4
Next-generation text-to-image generation and single-sentence image editing up to 4K resolution in one unified model. ### Overview Seedream 4.0 by ByteDance is an advanced image creation model that unifies text-to-image generation and precise single-sentence image editing. It supports high-resolution image outputs up to 4K and enables versatile workflows including batch processing and multi-reference inputs. ### Strengths / What it does well - Combines image generation and editing in a single architecture, eliminating the need for separate tools. - Supports detailed natural language prompt editing for precise modifications (e.g., object removal or replacement). - Produces high-resolution (up to 4096px) images with fast inference. - Handles multiple input images and generates multiple related outputs in batch mode. - Applies diverse visual styles such as watercolor and cyberpunk. - Capable of knowledge-driven content generation like annotated diagrams and timelines with strong reasoning abilities. ### Best use cases - Creative agencies and designers for generating concept art and storyboards from multiple references. - Illustration and educational content creation requiring accurate labeled diagrams. - Visual editing and prototyping workflows where quick, text-driven modifications to images accelerate iteration.
NTNodespell Team
AI / Image / Bytedance
Gemini Text
Gemini Text
A versatile and efficient multimodal model for various creative and analytical tasks. ## Model Overview The Gemini 2.5 family of models, offered by Google, represents a significant leap in multimodal AI capabilities. These models are designed to understand and process a wide range of information, including text, images, and potentially other modalities, allowing for complex reasoning and content generation. ## Best At Excels at tasks requiring understanding and generating content across different modalities. This includes complex reasoning, summarization of lengthy documents or media, creative writing, code generation, and analyzing visual information. ## Limitations / Not Good At While powerful, like all models, it may have limitations in highly specialized niche domains or tasks requiring real-world physical interaction. Extremely nuanced or subjective cultural interpretations might also be challenging. ## Ideal Use Cases - **Content Creation:** Generating blog posts, scripts, marketing copy, or social media updates. - **Information Synthesis:** Summarizing research papers, meeting transcripts, or large datasets. - **Code Assistance:** Writing code snippets, debugging, or explaining complex code. - **Visual Analysis:** Describing images, identifying objects, or answering questions about visual content. - **Creative Exploration:** Brainstorming ideas, developing story concepts, or generating dialogue. ## Input & Output Format Likely accepts a combination of text and image inputs. Outputs primarily text, but can generate or reason about other modalities depending on the specific task and fine-tuning. ## Performance Notes Gemini 2.5 models are known for their strong performance across a wide range of benchmarks, offering a good balance of speed and accuracy. The 'lite' versions are optimized for efficiency, while 'pro' versions offer maximum capability.
NTNodespell Team
AI / Text

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Type

Snippet

Status

Official

Category

Image Generation & Editing

Tags (8)

Ai Image GenerationFood PhotographyPrompt EngineeringNodespell WorkflowGemini 2 5 FlashGoogle Nano Banana

Keywords (15)

Nodespell Food Image WorkflowAi Dish Image GeneratorRecipe Image Prompt GeneratorGemini 2 5 Flash WorkflowGoogle Nano Banana Food ImagesSeedream 2k Recipe Photos
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