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Description
Higgsfield Soul 2.0 is an advanced AI model for image generation, specifically tailored for the creative, fashion-conscious, and culturally aware sectors of visual production. It focuses on aesthetics, generating high-quality images that appear as if they were captured through a camera rather than created artificially, ensuring that every visual has a sense of taste embedded within. Users can create images from both text descriptions and reference photos, with the model adeptly interpreting elements such as composition, lighting, style, and mood to produce results that meet editorial standards. Additionally, Soul 2.0 features a selection of curated presets that serve as visual guides, enabling creators to quickly set the desired mood and aesthetic without needing to engage in complicated prompt crafting. A standout aspect of this model is its Soul ID feature, which offers a personalization layer that allows users to train a consistent digital persona using their own photographs, making it easy to maintain that identity across various scenes, poses, and lighting conditions. This combination of features empowers artists and designers to explore their creative visions more freely while ensuring a cohesive visual narrative throughout their work.
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
Adobe Express
No
Adobe Firefly
No
Dreambeans
No
Fuser
No
Gemini
No
Gemini 3 Pro
No
Gemini 3.1 Flash Image
No
Gemini Enterprise Agent Platform
No
Google
No
Google AI Pro
No
Integrations
Adobe Express
Yes
Adobe Firefly
Yes
Dreambeans
Yes
Fuser
Yes
Gemini
Yes
Gemini 3 Pro
Yes
Gemini 3.1 Flash Image
Yes
Gemini Enterprise Agent Platform
Yes
Google
Yes
Google AI Pro
Yes
Pricing Details
$9 per month
Free Trial
No
Free Version
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Higgsfield
Founded
2023
Country
United States
Website
higgsfield.ai/soul-intro
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.google/overview/image-generation/