veo-3-1/fast/extend-video
Streamline video refinements with seamless scene continuity for creators.
This release lets you transform a still image into a cinematic Fantasy Portrait animation using the FantasyPortrait model from Fantasy-AMAP combined with Wan 2.1 and optional lightweight LoRA. The system preserves identity while enabling expressive facial detail, producing emotion-rich video clips tailored for creators seeking cinematic motion from a single portrait.
Fantasy Portrait helps you turn still images into dynamic, identity-preserving animations. Ideal for creators, artists, and storytellers, it generates expressive video clips with natural movement from a portrait photo and a video. The output is a high-fidelity MP4 video with consistent framing and polished cinematic quality.
The FantasyPortrait model provides core identity and expression-aware embeddings, ensuring subject traits are preserved while allowing nuanced facial motion. It is the heart of the Fantasy Portrait workflow. You can learn more through the GitHub project and the corresponding arXiv paper.
WanVideo 2.1 acts as the video diffusion backbone, enabling high-resolution animation generation from portrait and prompt guidance. It samples video content using both image and text conditions, producing consistent and expressive results. Quantized and Comfy-ready weights are available via Kijai's Hugging Face model pack.
You must begin by providing an image and a video through the Image and Video inputs, which serve as the foundation of the Fantasy Portrait generation. Define the Width and Height values to set your output dimensions, and use Number of Frames to control how long your animated portrait will run. These inputs are essential to ensure framing consistency and proper animation length.
You can guide the artistic or emotional quality of the output by adding a Prompt with short descriptive phrases. If desired, you may adjust Seed to vary randomness between generations, Shift to influence motion timing, and Steps to refine sampling precision. These optional controls let you experiment with stylistic variation while keeping subject identity preserved.
The workflow produces a high-quality MP4 video, defaulting to 16 fps and yuv420p format, based on the Readme description. This output is constructed from your source portrait, combined with embeddings and prompts, to generate cinematic and expression-rich motion. The result is a polished Fantasy Portrait animation clip.
For the best outcomes, use a clean, well-lit portrait image as your starting input. Use the expected animations in your video uploaded. Keep your Prompt concise and focused on mood or lighting rather than identity details. Moderate adjustments to Steps can sharpen visuals, while concise prompts ensure that expressions remain natural. Always verify that Width, Height, and Number of Frames match your intended framing and duration.
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Fantasy Portrait is an AI-powered tool that turns a still portrait image into a realistic talking video. It uses the FantasyPortrait model along with Wan 2.1 video diffusion to generate cinematic animated clips that preserve the subject's identity while adding lifelike expressions and motion.
Fantasy Portrait is accessible through Runcomfy's AI playground, where users can generate content by spending credits. New users typically receive free credits to try out Fantasy Portrait without cost initially.
Fantasy Portrait produces high-quality MP4 video outputs at a standard 720x720 resolution. It maintains visual consistency and facial identity while delivering expressive motion, making it well-suited for creative storytelling or character animations.
To use Fantasy Portrait, you'll need a well-lit, high-resolution portrait image. You can also optionally include a text prompt to guide expression, or even upload a reference video for timing. Width, Height, and Frame count help fine-tune your final animation output.
Yes, Fantasy Portrait allows you to suggest moods or emotional tones through optional text prompts. It uses a UMT5-XXL encoder to understand prompt context and apply it to the animation, resulting in expressive and relevant facial behavior.
Fantasy Portrait is ideal for creators, illustrators, and storytellers looking to bring static character portraits to life. It’s especially useful for social media content, game design, and emotional scene visualization using animated talking heads.
Fantasy Portrait runs on the Runcomfy website, accessible via modern desktop and mobile browsers. There's no need for local downloads or installation, and you can simply log in to start using it with available credits.
Fantasy Portrait stands out by combining expressive embedding, identity preservation, and cinematic motion using advanced models like FantasyPortrait and Wan 2.1. This ensures higher visual fidelity and emotional depth compared to many simpler talking photo apps.
While Fantasy Portrait offers high-quality animation, its performance depends on input image clarity and framing. Overly complex prompts or poorly lit portraits may reduce output quality. Additionally, usage depends on credits, which may limit generation volume without purchase.
RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.