For those watching world of artificial intelligence, the hunger for more powerful models is constant. Creating stunning, realistic videos using AI has often been gated by hefty hardware requirements, particularly when it comes to video memory (VRAM). Models like Hunyuan Video, known for their impressive capabilities, previously demanded top-tier GPUs with substantial VRAM, often placing them out of reach for many enthusiasts and smaller creators.
But the landscape is shifting. Recent advancements like ComfyUI are breaking down these barriers, and the latest news is particularly exciting: running Hunyuan with 8GB VRAM is now a tangible reality. This means you no longer need a monstrously expensive graphics card to tap into the power of this VRAM hungry video model.
This development, spearheaded by clever engineering within ComfyUI, promises to democratize AI video generation, opening doors for more experimentation and creativity. Let’s go into how this works and what it means for you.
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The Game Changer: Hunyuan on 8GB VRAM is Here
The buzz centers around the latest release of ComfyUI (version 0.3.10). This update introduces a crucial feature: temporal tiling support for video VAEs. If that sounds technical, don’t worry. The core takeaway is that this clever technique significantly reduces the VRAM needed to run demanding video models like HunyuanVideo. Previously, you might have needed 32GB of VRAM to effectively run this model. Now, that requirement has been slashed.
Think of it like this: imagine trying to paint a massive mural. Traditionally, you’d need to see the entire canvas at once. Temporal tiling allows the software to focus on smaller sections of the video across time, reducing the memory needed at any given moment.
Understanding the Magic: Temporal Tiling Explained
To appreciate this breakthrough, it’s helpful to understand the concept of temporal tiling. It’s distinct from spatial tiling, a more straightforward approach.
- Spatial Tiling: Imagine dividing a single image into smaller squares. Each square can be processed individually. With a compression factor of 8x, a single point in the “latent space” (the AI’s internal representation of the image) translates to an 8×8 pixel area. This scales predictably: a 2×1 latent becomes 16×8 pixels, and so on. It’s a neat, clean mapping.
- Temporal Tiling: Video adds the dimension of time. Temporal tiling breaks the video down into chunks across this time dimension. The fascinating part is how the “compression” works. For a 4x temporal compression:
- 1 latent represents 1 frame.
- 2 latents can represent 5 frames.
- 3 latents can represent 9 frames.
In essence, temporal tiling allows ComfyUI to process the video in manageable “temporal slices,” drastically reducing the overall VRAM footprint required to run Hunyuan with 8GB VRAM.
Getting Your Hands Dirty: Running Hunyuan on 8GB VRAM GPU
If you’re entirely new to Hunyuan Video, Digialps team recommends checking out our previous blog post on getting started with Hunyuan Video. This will provide a foundational understanding before diving into the 8GB VRAM optimization.
Excited to try it out? Here’s what you need to do to start running Hunyuan on 8GB VRAM:
Prerequisites Running Hunyuan on 8GB VRAM:
- ComfyUI Installation: Ensure you have ComfyUI installed. If not, you’ll need to download and install it.
- HunyuanVideo Model: You’ll need the actual HunyuanVideo model weights. we recommend these following.
- hunyuan-video-t2v-720p-Q4_0.gguf → Place in
ComfyUI/models/diffusion_models. - clip_l.safetensors and llava_llama3_fp8_scaled.safetensors → Place in
ComfyUI/models/text_encoders. - hunyuan_video_vae_bf16.safetensors → Place in ComfyUI/models/vae
- hunyuan-video-t2v-720p-Q4_0.gguf → Place in
- Recommended Hardware (8GB VRAM GPU): While this post focuses on 8GB, ensure your system meets the basic requirements for running ComfyUI.
Step-by-Step Guide:
- Update Your ComfyUI: Ensure you’re running the latest version of ComfyUI or ComfyUI Desktop (specifically version 0.3.10 or newer). This is crucial to access the temporal tiling features.
- Grab the Updated Workflow: You’ll need to use a workflow specifically designed to leverage temporal tiling. Look for the updated example workflow (Here).
- Tweak the “VAE Decode (Tiled)” Node: This is where the magic happens. Within the workflow, locate the “VAE Decode (Tiled)” node. If you have a GPU with less than 32GB of VRAM, you’ll want to experiment with lowering the following parameters:
- tile_size
- overlap
- temporal_size
- temporal_overlap
- Consider FP8 Weights: For those still bumping against memory limits or wanting to speed things up, check the “Load Diffusion Model” node. Select fp8 for the weight_d type. FP8 (8-bit floating point) is a lower-precision format that can accelerate inference and reduce memory consumption.
Experiencing the Power: An Example
To illustrate the capabilities, consider this example prompt used by the ComfyUI team:
“Inside an abandoned factory, the camera tracks a male protagonist walking through a large space filled with industrial machinery. The pipes and machines slowly rotate and adjust their positions, creating an eerie sense of motion”
Using temporal tiling with settings like tile_size = 128, overlap=32, temporal_size=32, and temporal_overlap=4, this complex scene can now be brought to life even on an 8GB card.
The Impact: More Creators, More Innovation
The ability to run Hunyuan with 8GB VRAM is more than just a technical achievement. It’s a significant step towards making advanced AI video creation accessible to a wider audience. This means:
- More Experimentation: Creators with mid-range GPUs can now explore the potential of HunyuanVideo without needing expensive hardware upgrades.
- Faster Iteration: Lower VRAM requirements can potentially lead to faster processing times for some users, allowing for quicker iteration on creative ideas.
- Democratization of AI: This breakthrough empowers hobbyists, indie filmmakers, and smaller studios to leverage powerful AI tools that were previously out of reach.
Looking Ahead
The development of temporal tiling within ComfyUI is a testament to the ingenuity and rapid progress within the AI community. It demonstrates that limitations can be overcome through clever software solutions. The ability to run Hunyuan on 8GB VRAM is a win for accessibility and opens up exciting new possibilities for AI-powered video creation. Now is the perfect time to update your ComfyUI, grab the new workflow, and start exploring the impressive capabilities of HunyuanVideo for yourself. The barrier to entry has just been significantly lowered, and the creative potential is immense.
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