Knowing the right model to pick for your video is like seasoning a dish - the model must work with you and add a kick your vision 👁️
What do Frame-by-Frame models do?
Frame-by-Frame models are our traditional animation style. They have more flicker which offers a trippier effect than Text-to-Video. Frame-by-Frame has less fluidity than Text-to-Video with motion and movement, and are most comparable to stop motion animation.
What are Allrounder models?
Allrounder models are designed for versatility - they typically perform well across a wide range of prompts and artistic styles. Here is a quick view of the Allrounder models 👇
OpenJourney: A model striving to achieve the beautiful aesthetics of Midjourney. It's versatile, designed to excel at producing artistic, concept-driven visuals with a focus on creativity and fine detail, blending realistic textures with stylized aesthetics for a balanced and imaginative output
DreamShaper: Our most popular Allrounder model - it's highly stylized, imaginative, evoking dreamlike imagery while blending realism and artistic abstraction for a unique visual aesthetic
Stable Diffusion XL: A powerful, general-purpose model designed for generating high-resolution, photorealistic, and versatile imagery, with enhanced detail and composition, with a sweet spot for face generation. Works well in adapting various styles and subjects. The video resolution of this model is doubled than with all other models, which means it can produce beautiful, high-resolution frames but is also significantly slower than all other models
Juggernaut XL: A leader in realistic models. Based on Stable Diffusion XL, it's best to use shorter prompts for this one. The model is robust and general-purpose, perfect for creating high-resolution, photorealistic, and highly detailed imagery, excelling particularly in face generation and fine-tuned compositions. It adapts seamlessly to various styles and subjects. The video resolution of this model is doubled than with all other models, which means it can produce beautiful, high-resolution images but is also significantly slower than all other models
What are Specialist models?
Stylized models are crafted for focused expertise – they excel in specific styles, themes, or tasks, delivering exceptional results within their niche. However, they may struggle or produce less effective results outside their specialization. Here’s a quick overview of stylized models 👇
Realistic Vision: Optimized for creating ultra-detailed, photorealistic imagery, excelling in producing lifelike textures, environments, and subjects with exceptional accuracy and clarity. Looks great with flashy colors
Analog Diffusion: Designed to emulate the nostalgic aesthetic of vintage film photography, producing images with grainy textures, muted tones, and authentic retro vibes reminiscent of analog cameras. Great for demonstrating emotions, traditions and narratives
Anything 3: High quality and highly detailed anime, manga, and cartoon-style images that excel in detailed character designs. It offers vibrant colors and dynamic compositions while being flexible across various anime aesthetics
Cyberrealistic: Maximum realistic images that are modern and clean. Minimal prompting is needed. Has a knack for futuristic, cyberpunk-inspired aesthetics and lifelike visuals with a modern yet high-tech edge
RealCartoon3D: Perfect for stunning 3D cartoon visuals. Offers vibrant colors and detailed textures, with smooth and stylized designs for a polished animation aesthetic
Custom Models
Custom models: Train a custom model on OpenJourney, Realistic Vision, Protogen (Anime), DreamShaper or Epic Realism. For more info about custom models, check out this article.
Access to models depends on which subscription tier you are on. For more info about our subscription tiers and the models associated with them, check out this article.
NOTE: The models displayed in the videos are all using the same prompting and settings. It's important to mention that prompting and the model you select go hand-in-hand, working together to achieve the best results.