ESMFold2Biohub
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Hunyuan Motion 1.0Tencent Hunyuan
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Related Products
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About
ESMFold2 is the successor to ESMFold, setting a new state of the art for single-sequence structure prediction and enabling the generation of new functional proteins through searching the ESMC model’s latent space. The model predicts high-resolution, all-atom 3D structures of biomolecular complexes directly from sequence, with optional multiple sequence alignment input for enhanced accuracy on challenging targets. It is designed for structure prediction using sequence and structure modalities, with ESM representations powering a series of looped folding layers and a diffusion model projecting pairwise representations to atomic-resolution predictions. ESMFold2 predicts protein structures directly from amino acid sequences and outputs comprehensive structural information, including all-atom coordinates for backbone and side chains, confidence metrics, and optional distogram predictions for detailed structural analysis.
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About
Hunyuan Motion (also known as HY-Motion 1.0) is a state-of-the-art text-to-3D motion generation AI model that uses a billion-parameter Diffusion Transformer with flow matching to turn natural language prompts into high-quality, skeleton-based 3D character animation in seconds. It understands descriptive text in English and Chinese and produces smooth, physically plausible motion sequences that integrate seamlessly into standard 3D animation pipelines by exporting to skeleton formats such as SMPL or SMPLH and common formats like FBX or BVH for use in Blender, Unity, Unreal Engine, Maya, and other tools. The model’s three-stage training pipeline (large-scale pre-training on thousands of hours of motion data, fine-tuning on curated sequences, and reinforcement learning from human feedback) enhances its ability to follow complex instructions and generate realistic, temporally coherent motion.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Structural biology researchers who need fast, high-resolution protein structure prediction from sequence for analysis, exploration, and experimental planning
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Audience
3D artists, game developers, animators, and creative technologists who want to quickly generate realistic 3D character motion from natural language descriptions without manual keyframing or motion-capture equipment
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBiohub
Founded: 2016
United States
biohub.ai/models/esmfold2
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Company InformationTencent Hunyuan
Founded: 1998
China
hunyuan.tencent.com
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Categories |
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Integrations
Biohub
Blender
GitHub
Hugging Face
Imagen3D
Maya
Python
Unity
Unreal Engine
arXiv
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Integrations
Biohub
Blender
GitHub
Hugging Face
Imagen3D
Maya
Python
Unity
Unreal Engine
arXiv
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