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Description
GLM-Image represents an advanced, open-source model for image generation created by Z.ai, which merges deep linguistic comprehension with high-quality visual creation. Diverging from conventional diffusion-based models, this innovative approach employs a hybrid framework that fuses an autoregressive language model with a diffusion decoder, allowing it to analyze the structure, semantics, and interconnections in a prompt before producing the corresponding image. As a result, GLM-Image is particularly effective in contexts that demand meticulous semantic control, such as crafting infographics, presentation materials, posters, and diagrams that feature precise text integration and intricate layouts. The model boasts approximately 16 billion parameters, which contribute to its impressive ability to generate legible, well-positioned text in images—an aspect where many other models fall short—while also ensuring high visual fidelity and coherence. This combination of capabilities positions GLM-Image as a valuable tool for professionals seeking to create visually compelling content with textual elements.
Description
Nano Banana 2.1 is Google's updated high-efficiency model for AI image generation, image editing, and conversational visual creation. It succeeds Nano Banana 2 as Google's recommended high-efficiency image model while retaining Flash-level speed and cost efficiency. The model improves visual quality, text rendering, and consistency during multi-turn editing, making it suitable for workflows where users repeatedly modify an image through natural-language instructions. Nano Banana 2.1 generates images at 1K, 2K, and 4K resolutions and supports conventional portrait and landscape formats as well as extreme aspect ratios such as 1:8 and 8:1. Its text-rendering capabilities are designed for visuals containing legible and stylized writing, including infographics, diagrams, menus, and marketing assets. Multi-reference workflows support character resemblance for up to four characters and high-fidelity inclusion of as many as 10 referenced objects. Google Search grounding enables the model to verify information and create imagery based on current web information, while Google Image Search grounding can retrieve images from the web as additional visual context. Nano Banana 2.1 can also analyze video input and use its frames, visual themes, and events as context for generating new images such as thumbnails, posters, infographics, and related artwork. Developers can access the model through the Gemini API as gemini-nano-banana-2.1, and images generated by the model include Google's SynthID watermark.
API Access
Has API
No
API Access
Has API
Yes
Integrations
GitHub
Yes
Adobe Photoshop
No
Buzzy
No
Epochal
No
Gemini 3 Pro
No
Gemini 3.1 Flash Image
No
Gemini 3.1 Pro
No
Google Pics
No
Higgsfield AI
No
Hugging Face
Yes
Integrations
GitHub
Yes
Adobe Photoshop
Yes
Buzzy
Yes
Epochal
Yes
Gemini 3 Pro
Yes
Gemini 3.1 Flash Image
Yes
Gemini 3.1 Pro
Yes
Google Pics
Yes
Higgsfield AI
Yes
Hugging Face
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Z.ai
Founded
2019
Country
United States
Website
z.ai/blog/glm-image
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.google/overview/image-generation/