nano-banana/edit
Edit and blend images with prompts using Google Nano Banana.
Longcat Image Edit: Fast Image-to-Image Model with precise text editing on playground and API | RunComfy
meituan/longcat-image/edit
Transform images through natural language with precise, high-fidelity edits, superior text rendering, and style-consistent, high-resolution image-to-image generation for designers and creative professionals.
Introduction to Longcat Image Edit
Longcat Image Edit is Meituan’s advanced image editing AI under the LongCat AI suite, purpose-built to extend their 6-billion-parameter LongCat-Image model into a powerful image-to-image generation system. Designed for bilingual use in Chinese and English, it delivers exceptional consistency, high fidelity, and semantic accuracy in every edit. This release introduces key upgrades like superior text rendering, layout and texture preservation, and fast inference optimized for creative professionals seeking precise, instruction-based transformations across multi-round editing workflows.
Longcat Image Edit image-to-image gives you full control to modify images naturally through language prompts, producing professional, studio-quality outputs without complex masking. The tool caters to creators, marketers, designers, and anyone needing perfect alignment of detail and realism. With Longcat Image Edit, you harness effortless, intelligent image-to-image generation that preserves integrity, enhances style, and achieves consistent, high-resolution results.
Examples of Longcat Image Edit in Action
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Frequently Asked Questions
What is Longcat Image Edit and how does it relate to image-to-image editing?
Longcat Image Edit is an advanced AI model from Meituan’s LongCat AI suite designed for high‑quality image‑to‑image editing. It allows users to make local or global image changes through natural language instructions while keeping non‑edited regions consistent.
What are the main features of Longcat Image Edit for image-to-image tasks?
Longcat Image Edit supports a wide range of image-to-image functions including background replacement, style transfer, perspective adjustment, and reference‑guided edits. It excels at maintaining realistic textures and lighting, producing professional‑grade results efficiently.
How much does Longcat Image Edit cost to use?
Access to Longcat Image Edit operates on a credit-based system through Runcomfy. New users receive free trial credits, which can be used for image‑to‑image editing before purchasing additional credits if needed.
Who can benefit most from using Longcat Image Edit?
Longcat Image Edit is well suited for designers, marketers, and artists who require precise image-to-image modifications. It is also valuable to educators or general users seeking bilingual, high‑fidelity image edits for creative projects.
What makes Longcat Image Edit different from other image-to-image AI models?
Unlike many competitors, Longcat Image Edit prioritizes consistency preservation during image-to-image edits, allowing multiple rounds of changes without losing texture, lighting, or subject details. It also delivers strong bilingual (Chinese‑English) text rendering performance.
What quality can I expect from the outputs of Longcat Image Edit?
Longcat Image Edit ensures high‑fidelity image‑to‑image outputs comparable to studio‑grade editing. It maintains visual realism, natural proportions, and accurate text placement even during complex multi‑step edits.
What input and output formats does Longcat Image Edit support?
Longcat Image Edit works with standard image formats such as PNG and JPG for image-to-image transformations. Outputs remain faithful to the original resolution while reflecting the requested changes accurately.
How can I access Longcat Image Edit online?
You can use Longcat Image Edit through the Runcomfy AI playground after logging into your account. All image‑to‑image editing functions are available directly from a browser on both desktop and mobile devices.
Are there any limitations when using Longcat Image Edit?
While Longcat Image Edit delivers outstanding image-to-image results, performance may vary depending on GPU resources and the complexity of edits. Very abstract or ambiguous instructions might produce less consistent outcomes.