hunyuan video 1.5
Creator: Eden
Hunyuan

Hunyuan Video 1.5 — #1 Open-Source, Uncensored Model

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Hunyuan Video 1.5 is one of the best open-source video generation models

Hunyuan Video 1.5 is Tencent’s breakthrough 8.3B-parameter video generation model, engineered to deliver high-quality text-to-video and image-to-video results—while running on consumer-grade GPUs.

Its open-source availability has also enabled a number of community variants, such as the (cosy) Hunyuan 1.5 family, including GGUF builds that run on as little as 8GB VRAM, and 5G-optimized configurations for extremely fast inference.

Feature Description
8.3B Parameters Compact compared to 12–40B video models, yet delivers flagship-level quality
720p Native Output Generates 5–10 second clips with 1080p super-resolution upscaling
Text-to-Video (T2V) Produces cinematic sequences from natural language prompts
Image-to-Video (I2V) Animates still images with motion, physics, and camera control
Multilingual Text Rendering Supports both Chinese and English inside scenes
High Prompt Accuracy Excellent with camera paths, physics, emotions, pacing
Open Source Free, modifiable, and supported by an active community


Hunyuan Video 1.5 Cosyflow Variants Explained

The community-led cosy releases repackage Hunyuan Video 1.5 for a variety of hardware and use-cases. These versions are not official Tencent builds—they are community conveniences.

(cosy) Hunyuan 1.5 Text to Video

  • Default community build.
  • Best quality, full precision for the 8.3B model.
  • Recommended for 16–24GB VRAM GPUs.
  • Same behavior & output quality as the full reference implementation.

(cosy) Hunyuan 1.5 Text to Video (GGUF)

  • GGUF quantized version (similar to LLM quantization formats).
  • Much smaller RAM / VRAM footprint.
  • Ideal for users with 8–12GB VRAM GPUs.
  • Slight quality reduction, but considerably faster and lighter.

(cosy) Hunyuan 1.5 Text to Video (8GB VRAM GGUF version)

  • Specifically optimized for 8GB NVIDIA GPUs (e.g., RTX 3070, 4060).
  • Uses aggressive quantization.
  • Trade-offs:
    • Lower motion fidelity
    • Some artifacts in high-speed camera movement
    • Slightly softer visuals

Still remarkably good for its hardware requirements.

(cosy) Hunyuan 1.5 Text to Video (5G)

  • “5G” stands for 5 gigabytes VRAM target.
  • Ultra-light, aggressively optimized.
  • Useful for:
    • Notebook GPUs
    • Cloud free-tier instances
    • Small form factor mini-PCs
  • Quality loss is noticeable, but still functional for concept previews or rapid iteration.

Why People Call These Hunyuan Video “Uncensored”

Tencent’s official release is governed by standard content restrictions (similar to Stable Diffusion 1.5 and 3.0). The workflow builds remove restrictive filters, enabling usage without content-blocking:

  • No safety classifier checkpoints
  • No NSFW auto-masking
  • No prompt sanitization

⚠️ This does not alter the underlying model weights. The model has not been trained on explicit content, but now accepts any prompts without blocking.

Hunyuan Video 1.5 uses an optimized multi-stage diffusion pipeline:

Model links

text_encoders

diffusion_models

vae

:open_file_folder: ComfyUI/
├── :open_file_folder: models/
│   ├── :open_file_folder: text_encoders/
│   │      ├── qwen_2.5_vl_7b_fp8_scaled.safetensors
│   │      └── byt5_small_glyphxl_fp16.safetensors
│   ├── :open_file_folder: diffusion_models/
│   │      ├── hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors
│   │      └── hunyuanvideo1.5_720p_t2v_fp16.safetensors
│   └── :open_file_folder: vae/
│          └── hunyuanvideo15_vae_fp16.safetensors

Workflow Templates

If ComfyUI cannot find the nodes:

  • Update to Nightly
  • Ensure no extension import failed at startup
  • Make sure the template exists in your version

HunyuanVideo 1.5 is currently one of the most accessible, high-quality, and open-source video models available—while its community “cosy” variants unlock uncensored usage and low-VRAM deployments.

Limitations to Expect

Although powerful, HunyuanVideo 1.5 does have a few constraints:

  • Videos longer than 10 seconds lose quality
  • Fast motion may cause temporal jitter
  • Fine detail can “melt” across frames
  • GGUF versions reduce fidelity slightly
  • Complex object interactions aren’t perfect

Recommended

GPU VRAM Expected Performance
RTX 4090 24GB Full precision, fastest generation
RTX 3090 / 4080 16–24GB Produces full-quality results

Minimum (GGUF builds)

GPU VRAM Notes
RTX 4060 / 3070 8GB Works with GGUF 8GB version
Laptop GPUs 6GB 5G build only

Frequently Asked Questions

What is HunyuanVideo 1.5 and how does it compare to other text-to-video AI models?

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HunyuanVideo 1.5 is Tencent’s 8.3B-parameter open-source video diffusion model built for text-to-video and image-to-video generation. Compared to larger models (12–40B), it delivers similar cinematic output while running efficiently on consumer GPUs, making it one of the most accessible high-quality T2V models available.

How can I install and run HunyuanVideo 1.5 on ComfyUI using a consumer GPU?

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HunyuanVideo 1.5 can be installed by placing its text encoders, diffusion models, and VAE files in the ComfyUI models/ directory. Using the provided workflow templates (T2V or I2V), creators can generate 720p or 1080p videos on GPUs ranging from 8GB to 24GB VRAM. Updating ComfyUI to the Nightly build ensures full compatibility.

What are the differences between the (cosy) HunyuanVideo 1.5 variants, including GGUF and 5G builds?

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The cosy variants offer different performance levels: GGUF builds run on 8–12GB VRAM using quantization, the 5G version runs on as little as 5GB VRAM for laptops and cloud free tiers, and the full model provides maximum fidelity for 16–24GB GPUs. These community versions expand compatibility without changing the core model.

Is HunyuanVideo 1.5 uncensored, and what do the community builds remove or change?

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While Tencent’s official release includes content restrictions such as safety filters, cosy community builds remove prompt blocking, NSFW filters, and safety classifiers. The core model weights remain unchanged—meaning the model isn’t trained on explicit content, but it no longer blocks prompts.

What hardware do I need to generate videos with HunyuanVideo 1.5 on a low-VRAM GPU?

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HunyuanVideo 1.5 can run on GPUs with as little as 6–8GB VRAM using the GGUF or 5G cosy builds. For best quality, GPUs with 16–24GB VRAM such as the RTX 3090, 4080, or 4090 are recommended. These variants make T2V generation accessible on laptops and budget systems.

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