tencent/hunyuan-video-v1.5/text-to-video

Generate cinematic 5–8 second videos from text or images with smooth motion, 1080p upscaling, and efficient diffusion transformer design for creative, bilingual storytelling on consumer GPUs.

Introduction To Hunyuan Video 1.5 Text-To-Video

Developed by Tencent’s Hunyuan research team, Hunyuan Video 1.5 is a next-generation text-to-video model designed to bring cinematic motion generation to your workflow without heavy computational demands. With just 8.3 billion parameters, Hunyuan Video 1.5 integrates an advanced Diffusion Transformer architecture with 3D VAE and Selective Sliding Tile Attention (SSTA) for efficient spatiotemporal rendering. It creates 5–10 second dynamic video clips directly from text or image prompts, supporting bilingual input and upscaling to 1080p. Open-sourced and optimized for consumer GPUs, this release enables creators to experience state-of-the-art motion fidelity, accurate identity consistency, and artistic control across a variety of use cases from marketing visuals to concept art. Hunyuan Video 1.5 text-to-video generation tool empowers you to transform words into vivid, high-quality motion. Tailored for creators, filmmakers, and developers, it helps you quickly generate engaging video scenes, stunning animations, and prototype ideas with natural motion flow. With Hunyuan Video 1.5 text-to-video, you can craft professional-grade visual stories efficiently and creatively.

Examples Created Using Hunyuan Video 1.5

What makes Hunyuan Video 1.5 stand out

Hunyuan Video 1.5 is a text-to-video generator built for cinematic 5-8 second clips with stable structure, smooth motion, and realistic lighting. Its diffusion transformer design balances temporal coherence with per-frame detail, producing believable subjects and clean camera or object movement on consumer GPUs. Native 480p synthesis enables fast iteration, while a 1080p upscaling step prepares outputs for delivery. Bilingual prompting supports English and Chinese descriptions without sacrificing fidelity. With negative prompts and seeding, Hunyuan Video 1.5 offers precise control and reproducibility. The model focuses on efficient, structure-aware generation for social, product, and editorial content where clarity and motion quality matter most. Key capabilities of Hunyuan Video 1.5:

Structure-aware synthesis that preserves layout, pose, and material response across frames.
Smooth, artifact-minimized motion for pans, dolly moves, and subject actions.
1080p upscaling pipeline from 480p generation for speed-to-quality workflows.
Aspect ratios 16:9 and 9:16 for landscape or vertical formats in Hunyuan Video 1.5.
Deterministic seeds and negative prompts for controlled, repeatable outputs.
Optional prompt expansion to enrich concise prompts when desired.
Efficient performance on consumer GPUs for rapid iterations with Hunyuan Video 1.5.

Prompting guide for Hunyuan Video 1.5

Start with a concise description of subject, environment, motion, and camera behavior. Specify aspect_ratio (16:9 or 9:16) to match the target platform and set num_frames to control duration within the model’s 5-8 second range. Use num_inference_steps to trade speed for detail; increase for complex scenes, decrease for quick drafts. Apply negative_prompt to exclude artifacts or unwanted elements, and set a fixed seed for reproducibility. Hunyuan Video 1.5 supports bilingual inputs; keep phrasing clear and avoid mixing languages mid-prompt. Enable prompt expansion when you want the model to elaborate a sparse description; disable it for strict adherence. Examples for Hunyuan Video 1.5:

Aerial wide shot of a coastal town at sunrise, slow dolly forward, soft golden light, gentle ocean waves
Close-up of a chrome robot turning its head, studio lighting, shallow depth of field, cinematic grade
Night city street in rain, neon reflections, pedestrian walking past camera, subtle handheld motion
Macro shot of a blooming flower opening in time-lapse style, dark background, crisp detail
Cozy living room, cat jumps onto a sofa, warm lamplight, static camera, natural motion
Prompt plus negative prompt example: Futuristic highway drive at dusk, smooth car-to-car motion; negative_prompt: text overlay, watermark, logo Pro tips:
Be explicit about motion verbs and camera intent (pan, dolly, static, handheld) to guide temporal dynamics.
Limit adjectives to a few strong descriptors; conflicting styles reduce coherence in Hunyuan Video 1.5.
Anchor spatial cues (left, right, foreground, background) to stabilize layout across frames.
Iterate with seed sweeps and small prompt edits; adjust num_inference_steps for fine detail vs speed.
Generate at 480p for speed, review motion, then upscale to 1080p for final delivery with Hunyuan Video 1.5.

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Frequently Asked Questions

What is Hunyuan Video 1.5 and what does its text-to-video feature do?

Hunyuan Video 1.5 is Tencent’s advanced AI model designed for generating realistic video clips from text or image inputs. Its text-to-video feature allows users to create short, coherent, 5–10 second videos simply by typing descriptive prompts in English or Chinese.

Who can benefit most from using Hunyuan Video 1.5 for text-to-video generation?

Hunyuan Video 1.5 is ideal for creators, marketers, educators, and developers who need quick and high-quality text-to-video results without expensive hardware. It supports flexible applications such as storytelling, product demos, and visual prototyping.

Is Hunyuan Video 1.5 free to use for text-to-video generation?

Hunyuan Video 1.5 is available through Runcomfy’s AI Playground, where new users can enjoy free trial credits for text-to-video generation. Ongoing access requires credit spending per use, with details available under the 'Generation' section on the Runcomfy website.

What makes Hunyuan Video 1.5 different from other text-to-video models?

Compared to competing text-to-video models, Hunyuan Video 1.5 stands out with its efficient 8.3B parameter DiT architecture, strong motion stability, bilingual prompt support, and high-quality 1080p upscaling—all while running on consumer GPUs.

What video quality can I expect from Hunyuan Video 1.5’s text-to-video output?

Hunyuan Video 1.5 can generate visually detailed and stable videos up to 1080p resolution. Its text-to-video output is praised for consistent motion, accurate scene styling, and natural subject identity preservation across frames.

How can I access and run the Hunyuan Video 1.5 text-to-video model?

You can access Hunyuan Video 1.5 directly through the Runcomfy AI Playground by logging into your account. The platform works well on desktop and mobile browsers, making text-to-video generation accessible anywhere.

What inputs and outputs does Hunyuan Video 1.5 support for text-to-video generation?

Hunyuan Video 1.5 supports bilingual text prompts as inputs for text-to-video creation and also allows image-to-video conversion. The output is a short, high-quality MP4 or similar format video clip suitable for social media or creative projects.

Are there any hardware or technical limitations when using Hunyuan Video 1.5 for text-to-video?

While optimized for efficiency, Hunyuan Video 1.5 performs best on GPUs with at least 14–15 GB of VRAM. For online users via Runcomfy, text-to-video generation is handled in the cloud, so no local setup is required.

Can I use Hunyuan Video 1.5’s text-to-video results for commercial projects?

Yes, depending on the platform’s usage terms. Users can typically employ Hunyuan Video 1.5-generated text-to-video clips for marketing, education, or creative content, as long as they comply with Runcomfy’s and Tencent’s licensing policies.

Where can I share feedback or request improvements for Hunyuan Video 1.5 text-to-video?

Users can send suggestions or report issues related to Hunyuan Video 1.5 or its text-to-video feature by emailing hi@runcomfy.com. The development team encourages user feedback to enhance performance and usability.