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Mochi In ComfyUI
Overview :
Mochi is the latest open-source video generation model launched by Genmo, optimized for ComfyUI to operate effectively even on consumer-grade GPUs. Renowned for its high fidelity animation and excellent prompt adherence, Mochi brings state-of-the-art video generation capabilities to the ComfyUI community. Released under the Apache 2.0 license, this allows developers and creators to freely use, modify, and integrate Mochi without restrictive licensing issues. Mochi can run on consumer-grade GPUs such as the 4090 and supports multiple attention backends in ComfyUI, making it adaptable for VRAM less than 24GB.
Target Users :
The target audience for the Mochi model includes video content creators, developers, and AI enthusiasts. For video creators, Mochi offers a powerful tool to generate high-quality video content without the need for expensive professional-grade hardware. For developers, Mochi's open-source nature and flexible licensing allow for easy integration and customization of the model to meet specific needs. AI enthusiasts can also explore and learn about the latest video generation technologies through Mochi.
Use Cases
A video blogger uses Mochi to generate high-quality video content, enhancing production efficiency.
Game developers utilize Mochi to create game trailers or animations, reducing production costs.
Educators use Mochi to create educational videos that present complex concepts in a more engaging manner.
Features
- High Fidelity Animation Generation: Mochi is capable of producing high-quality video content with high-fidelity animated performances.
- Excellent Prompt Adherence: Mochi excels in following user prompts, accurately generating the desired video content.
- Open Source with Unrestricted License: Released under the Apache 2.0 license, users can freely use and modify Mochi.
- Suitable for Consumer-Grade GPUs: Mochi can run on consumer-grade GPUs like the 4090, reducing hardware requirements.
- Supports Multiple Attention Backends: Mochi supports various attention backends in ComfyUI to accommodate different VRAM sizes.
- Optimized Storage Requirements: Mochi can operate with less than 24GB of VRAM, making it accessible to more users.
- Provides a Simplified Workflow: Mochi offers a simplified workflow to help users quickly start video generation.
How to Use
1. Update to the latest version of ComfyUI.
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2. Download the Mochi weights file to the `models/diffusion_models` folder.
3. Ensure that there is a text encoder in the `models/clip` folder.
4. Download the VAE file to `ComfyUI/models/vae`.
5. Find example workflows and start generating videos.
6. If RAM is insufficient, consider using the fp8 scaled model instead of the t5xxl_fp16 model.
7. Use the fp8_scaled Diffusion model instead of the bf16 model.
8. Download the all-in-one packaged checkpoint to the `models/checkpoint` folder and follow the simplified workflow for video generation.
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