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What's new

Google Nano Banana Pro: A new model for creating and editing images in chat

chat

We are expanding our visual content capabilities and adding support for the Google Nano Banana Pro model.

New features are now available to you directly in the chat interface:

  • Image generation: create graphics from scratch using text descriptions.
  • In-dialog editing: make changes and refine images directly while chatting with the model.

This update allows you to work with images faster and more conveniently without leaving the familiar chat window.

Studio Vision v3.6 Image Generation Model Update

image-gen
  • Improved color correction: colors are more accurate, cleaner, and more natural.
  • Increased detail: finer elements and textures are rendered more thoroughly.
  • Updated post-processing algorithms: images look higher quality right out of generation.
  • Reduced generation cost.

Improved quality, reduced cost

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  • Faster generation
  • Fewer artifacts
  • Reduced cost
  • Improved tag handling and updated documentation

DreamWeaver model update to v3

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  • Next-level photorealism: significant reduction of the "plastic" look and artificial skin smoothness that characterized earlier versions.
  • Ultra-detailed textures: high-precision rendering of complex natural elements — from skin pores and wrinkles to animal fur and water ripples.
  • Advanced text rendering: the model correctly generates long captions, complex layouts, and multi-line text in multiple languages.
  • Deep prompt understanding: improved interpretation of complex instructions, including the spatial arrangement of objects and stylistic nuances.

Update of image GPT NSFW model to v2.5

image-editor
  • Improved prompt fidelity and greater style versatility.
  • Test users report increased detail and realism.
  • Significantly improved anatomy and compositional consistency.
  • Improved consistency: many issues with facial "drift" and background distortion during partial image edits have been fixed.

Update of the WildClipS model to v3

video-gen
  • Improved image quality
  • Seams when stitching together multiple 5-second videos are less noticeable
  • Improved human and animal anatomy
  • Great for anime

Anime xl model update

image-genanime

🌟 What's new?

  • Up-to-date dataset: The model's knowledge base has been updated, data cutoff — last month.
  • Improved lighting: Faces are noticeably brighter; fixed an issue with overly deep shadows.
  • Composition stability: Fixed a bug where the model often produced "collages" (multiple angles in a single image).
  • Prompt adherence: Slightly improved accuracy in understanding text prompts.
  • Character refinement: Characters introduced in the previous version are now trained more deeply and produce higher-quality results.

⚠️ Known issues

Although overall stability has increased, the update introduced a few caveats:

  1. Prompt sensitivity: The model has become more demanding of prompt quality. Short prompts or poor structure now more often lead to unsuccessful results.
  2. Eye color: Rare cases of the eye color not matching what was specified in the prompt may occur.
  3. Style inconsistency: Due to weight merging to support third-party LoRAs, the style can vary, especially when generating specific characters.
  4. Character limitations: Some new characters (e.g., Ye Shunguang from ZZZ) still require many tags and currently work best in portraits (close-up headshots).

🛠 Technical usage recommendations

For best results, it's recommended to follow these settings:

  • Prompt composition: For a single character, use the tag combo 1girl, solo.
  • SFW filtering: To avoid 18+ content, add the word nude to the negative prompt (Negative Prompt).

WaifuStudio model update

image-genanime
  • Adjusted the model's default overall style
  • Improved visual clarity and accuracy of character rendering

Update of the Studio Vision model to v3

image-gen
  • Improved speed
  • Reduced usage cost
  • Improved image generation quality (realism, detail)

Model MomentFlow updated to v4

video-gen
  • Support for audio. Thanks to a unified process, lip-sync and the rhythm of actions in the frame automatically adjust to the sound. If a character speaks or sings, the footage will match.
  • Greatly improved preservation of characters' and objects' appearance when changing frames or angles. This resolves the problem of faces "flickering" in long scenes.
  • Understanding of complex prompts improved by ~15%; the model follows the script more accurately.
  • Movements are smoother and more physically accurate thanks to better understanding of depth and perspective.
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