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LongCat Image: High-Resolution Text-to-Image & Editing Model on playground and API | RunComfy

meituan/longcat-image/text-to-image

Generate high-resolution, multilingual images from text with fast-speed generation, and API access for professional creators and teams seeking studio-quality visual output.

Choose a preset size or select Custom to provide width and height.
The number of inference steps to perform.
The guidance scale used for image generation.
Specifies the format of the generated image.
Idle
The rate is $0.13 per image.

Introduction to LongCat Image Model

Developed by Meituan as part of the LongCat AI suite, LongCat Image is a powerful 6-billion-parameter text-to-image and editing model built for creators and teams who demand studio-quality visuals with unmatched efficiency. LongCat Image delivers high-resolution, multilingual generation—excelling in both Chinese and English—while maintaining precise consistency across multiple edits. For developers, LongCat Image on RunComfy can be used both in the browser and via an HTTP API, so you don’t need to host or scale the model yourself.

Examples of LongCat Image Results

Model overview

  • Provider: Meituan
  • Task: text-to-image
  • Resolution/Specs: Preset aspect ratios including square, portrait (4:3, 16:9), and landscape (4:3, 16:9) with HD variants; outputs in PNG, JPEG, or WebP
  • Key strengths: 1)Strong prompt adherence and multilingual prompt support for LongCat Image 2)Deterministic reproducibility via seed for consistent iterations 3)Fast iteration and editing with adjustable steps and guidance 4)Scalable API and cloud execution with no local setup

Summary: LongCat Image is a diffusion-based text-to-image model, designed to produce high-resolution, multilingual images from text. It targets professional creators and teams who need studio-quality output with consistent results, rapid iteration, and direct API access.


How LongCat Image runs on RunComfy

Run LongCat Image on RunComfy for an instant, production-ready experience without managing GPUs or dependencies. Experience the model directly in your browser without installation via the Playground UI. Developers can integrate LongCat Image via a scalable HTTP API. No cold starts and no local setup required, you get low-latency image generation suitable for both prototyping and production on RunComfy.


Input parameters

Below are the inputs LongCat Image accepts. Groupings are provided to speed up integration and tuning.


1) Core prompts


ParameterTypeDefault/RangeDescription
promptstringdefault: emptyThe primary text description for the image. Supports multilingual prompts; include visual details (subjects, style, lighting) for best results.

2) Dimensions & sampling


ParameterTypeDefault/RangeDescription
image_sizestring (choice/custom)default: landscape_4_3; choices: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, CustomChoose a preset aspect ratio. Select Custom to supply explicit width and height when available in your workflow. HD presets produce larger images.
num_inference_stepsintegerdefault: 28Number of diffusion steps. More steps can improve detail and prompt adherence but increase latency.
guidance_scalefloatdefault: 4.5Classifier-free guidance strength. Higher values increase adherence to the prompt; very high values can reduce diversity or introduce artifacts.
output_formatstring (choice)default: png; choices: jpeg, png, webpFile format of the generated image(s). png preserves detail and supports transparency; jpeg is smaller; webp balances size and quality.

Recommended settings

Use these starting points to get the most from LongCat Image:

  • Photorealism: 24–32 steps, guidance_scale 4.5–6.0, output_format png. Keep enable_safety_checker on.
  • Stylized/illustrative art: 14–24 steps, guidance_scale 3.0–4.0 for more creative variation.
  • Consistency across a series: Set a fixed seed and keep image_size constant. Generate with num_images: 2–4 per prompt and select the best.
  • Faster drafts: 14–20 steps, acceleration high. Increase steps after you lock composition.

Output quality and performance

LongCat Image returns image files in the selected format (PNG, JPEG, or WebP). Output dimensions are determined by the chosen image_size preset, with HD variants producing higher-resolution images. With no cold starts and managed infrastructure, LongCat Image maintains consistent performance for both interactive use and batch jobs.


Recommended use cases

LongCat Image excels in:

  • E-commerce: Rapid product renders, lifestyle compositions, and background variations.
  • Marketing and growth: Ad creatives, social assets, and multilingual campaign visuals.
  • Media and localization: Generating consistent visuals across languages and regions.
  • Games and entertainment: Concept art, storyboards, and environment ideation.

How LongCat Image compares to other models

LongCat Image vs Stable Diffusion XL (self-hosted):

- LongCat Image offers a managed, no-ops experience with an HTTP API, presets, safety, and acceleration options; SDXL self-hosting provides full model control but requires infra, optimization, and maintenance.

- For teams prioritizing speed-to-production and predictable latency, LongCat Image reduces operational overhead compared to running SDXL pipelines.

LongCat Image vs Midjourney:

- LongCat Image provides a direct HTTP API and deterministic seeding for reproducible workflows; Midjourney is primarily Discord-first and less programmatically oriented.

- LongCat Image emphasizes integration into apps and pipelines with consistent outputs, while Midjourney focuses on interactive, stylized image creation.

-Note: For Image to Image version, please visit LongCat Image Edit Playground

Related Playgrounds

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seedream-4-0/sequential

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ideogram-v3/edit

Edit images by masking areas and prompting changes with Ideogram 3.

flux-1-1-pro/text-to-image

Perfect detail meets artistic mastery.

flux-2/pro/text-to-image

Create reliable, studio-grade visuals with precise color and layout control.

qwen-edit-2509/lora

Next-gen visual tool with refined editing, bilingual text control, and seamless image blending.

Frequently Asked Questions

Can I use LongCat Image for commercial projects through RunComfy?

LongCat Image, as a text-to-image model developed by Meituan, is distributed under the Open RAIL license. This means commercial use is permitted only if it aligns with the license conditions specified by the model creator. Using LongCat Image via RunComfy does not override or bypass those original terms—you must still comply with the model’s explicit commercial rights and attribution policies listed on longcatai.org.

What are the technical limitations of LongCat Image when generating or editing content?

LongCat Image currently supports output resolutions up to approximately 4 megapixels (e.g., 2048×2048). Aspect ratios can vary but are constrained to a 1:2 to 2:1 range, and prompts are limited to 512 tokens per text-to-image job. Control references (such as ControlNet or IP-Adapter inputs) are capped at two simultaneous sources per generation to preserve GPU memory efficiency.

How can I transition from testing LongCat Image in the RunComfy Playground to deploying it via API?

Once you are satisfied with your text-to-image experiments in the RunComfy Playground, you can export your setup into code snippets provided in Python or NodeJS directly from the interface. The LongCat Image API mirrors the same parameters and generation pipeline as the playground. You will need to use your RunComfy API key, manage usage credits (usd), and implement error handling for production-grade reliability.

What new capabilities make LongCat Image superior to earlier models?

LongCat Image introduces a DiT-based hybrid architecture and a VLM encoder that boosts its text-to-image precision, especially for complex multilingual prompts and Chinese typography. It also integrates generation and editing seamlessly within the same workflow, producing studio-quality results with consistent lighting and textures across multiple edit rounds.

How do I manage usage credits when running LongCat Image on RunComfy?

RunComfy operates on a credit-based system called usd. New users receive free trial credits to explore the LongCat Image text-to-image features, after which additional usd can be purchased as per the Generation section in your dashboard. API and Playground both consume credits proportionally to resolution and complexity.

What should I do if I experience slow rendering or job queuing with LongCat Image?

If LongCat Image text-to-image requests take longer to process, it may be due to high concurrency periods. RunComfy auto-queues jobs and scales instances, but for high-volume or low-latency production needs, you can upgrade to a dedicated GPU plan. Contact hi@runcomfy.com for infrastructure-level assistance or to reserve faster GPU tiers.

Does the RunComfy API provide the same results as the web playground version of LongCat Image?

Yes. The LongCat Image text-to-image API replicates the exact same inference graph and sampling parameters as the playground. This ensures that visual outputs remain consistent when moving from prototype to automated production environments.

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