All AI Models Available on RaveGen
RaveGen offers multiple AI models for image and video generation. Here is a guide to the types of models available, their strengths, and how to choose the right one.
Image Generation Models
RaveGen supports a growing collection of AI models for text-to-image and image-to-image generation. Models are added and updated regularly. You can browse all available models directly in the generator.
Stable Diffusion Models
The most widely-used open-source AI image models. Available in several versions with different specializations:
- -SDXL — high-resolution, detailed images with strong prompt adherence
- -SD 1.5 fine-tunes — specialized models for anime, photorealism, or specific art styles
FLUX Models
Next-generation image models known for exceptional quality, detail, and prompt understanding. FLUX models often produce the most photorealistic results and handle complex compositions well.
Specialized Models
Models fine-tuned for specific use cases: anime/manga art, photorealistic portraits, fantasy art, architecture, and more. Each produces a distinct visual style.
Video Generation Models
Video models on RaveGen support text-to-video, image-to-video, video-to-video, start-to-end frames, motion control, and lip sync modes.
Text-to-Video Models
Generate video clips from text descriptions. Different models offer different durations, resolutions, and visual styles — from cinematic to stylized.
Image-to-Video Models
Animate static images into video clips. These models understand the content of the image and add natural motion, camera movement, and temporal coherence.
How to Choose the Right Model
- 1.Match the style to your goal — want photorealism? Use a realistic model. Want anime? Use an anime-focused model.
- 2.Check credit cost — different models have different credit costs. More powerful models may cost slightly more.
- 3.Experiment — try the same prompt on multiple models to see which gives you the best results for your use case.
- 4.Read model descriptions — each model in the generator has a brief description of its strengths and specialties.
Model Parameters
Each model supports configuration parameters that affect the output:
- -CFG Scale (Guidance) — controls how closely the model follows your prompt. Higher values = more literal, lower = more creative freedom.
- -Steps — number of denoising iterations. More steps = more refined detail, but diminishing returns past 30-50.
- -Scheduler — the denoising algorithm. Different schedulers can produce different textures and details from the same prompt.
- -LoRAs — lightweight model add-ons that adjust style, subject, or concept without changing the base model.
- -Dimensions — output resolution and aspect ratio. Available dimensions depend on the selected model.
Browse All Models
Explore the full collection of AI models in the generator.
Open Generator