Higgsfield SOUL 2.0 Tutorial – Better Than Nano Banana Pro?
In this video tutorial we will be getting a complete overview and tutorial on the brand new Higgsfield Soul 2.0 image generator. It differs from other image models like Nano Banana because here you can train the AI by uploading multiple pictures of your subject (Character/Soul ID). This results in very consistent images. First of all we will see how all this works and towards the end, we will also compare the results with Nano Banana Pro. Here’s the video:
Video Summary
This video provides a detailed look at Higgsfield SOUL 2.0, an AI image generation model, comparing its features and performance to Nano Banana Pro.
- Character Training: The platform allows users to create highly consistent AI characters by uploading several images (ideally 10–12) for the model to learn [01:16]. While the system suggests more, even a few high-quality photos can yield excellent results [02:04].
- Generation via Reference: A powerful feature of Soul 2.0 is the ability to use a reference image instead of a text prompt. By uploading a photo from sources like Pinterest, the AI can replicate the composition and lighting while inserting your trained character [03:00].
- Prompt-Based Generation: For users who prefer descriptions, the model also supports detailed text prompts. The video demonstrates how to use ChatGPT to generate varied scenarios, such as “golden hour rooftop” or “urban night portrait” [07:11].
- Comparison with Nano Banana Pro: Soul 2.0 is highlighted for being faster and cheaper [00:13]. In head-to-head tests, it demonstrated superior facial consistency for specific characters compared to Nano Banana Pro, which sometimes struggled to maintain exact likenesses [08:52].
- Technical Settings: Users can customize output with various presets (like “digital camera”), aspect ratios (such as 2:3 for portraits or 16:9 for cinematic shots), and resolutions up to 2K [05:08].
- Pricing: Although it requires a paid Higgsfield plan, it currently offers a generous amount of generations (up to 2,500) for free within that subscription [05:36].

