Skip to page content
SAVRN
Search Plan a project

Open-weight model · Image to video

GAE-D64-1B

by ARC Lab, Tencent TencentARC/GAE-D64-1B

GAE-D64-1B is an open-weight model for image to video from ARC Lab, Tencent. Its published files total 11.1 GB.

(hiddensize=[768, 2048], depth=[28, 6]) over a 64-channel geometry-native latent, at 672×378 and V=81, with metric Plücker camera conditioning and Qwen3-0.6B text.

Parameters—
Context—
Weights11.1 GB
License—
AccessOpen weights
Monthly Downloads—

Model Card

(hiddensize=[768, 2048], depth=[28, 6]) over a 64-channel geometry-native latent, at 672×378 and V=81, with metric Plücker camera conditioning and Qwen3-0.6B text. This repo is self-contained for GAE-64 inference: codec, per-channel latent statistics, DA3 feature-level stats, and the flow transformer. The frozen DA3-GIANT encoder / DPT head comes from Or, after the files are in ckpts/: Image-to-video uses 50 Euler steps and CFG 2 with one reference view. - codec/ — safetensors + config.json - gae64.pt — drop-in checkpoint for gae.loadcodec - latentstatsgae64.pt — per-channel latent mean/std - da3statsgiant5ds.tar — DA3 feature-level normalization stats - transformer/ — flow safetensors +…

Excerpt from the card by ARC Lab, Tencent.

Identity and Version

Repository
TencentARC/GAE-D64-1B
Publisher
ARC Lab, Tencent
Task
Image to video
Modality
Other
Library
pytorch
Parameters
Not stated by the source
Languages
gae
Revision
9825f88245fd9b7b296388d3cfbdff4fc5ff37ca
First published
2026-09-17
Last updated
2026-09-22

Files and Weights

14 files, 11.1 GB in total. The weights are 5 files totalling 11.1 GB in pt, safetensors.

Weights5 files · 11.1 GB
Configuration4 files · 4.0 KB
Documentation2 files · 3.6 KB
Other2 files · 164.8 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
codec/model.safetensorsWeights1.8 GB c6ddee3570b3
flow_gae64.ptWeights3.7 GB 4f238ccc1a29
gae_64.ptWeights1.8 GB 6dba51bb6878
latent_stats_gae_64.ptWeights2.0 KB cbf372945d88
transformer/diffusion_pytorch_model.safetensorsWeights3.7 GB 12bfcf1de6b1
codec/config.jsonConfiguration523 B —
inference_config.jsonConfiguration565 B —
manifest.jsonConfiguration1.9 KB —
transformer/config.jsonConfiguration1.0 KB —
LICENSE.txtDocumentation2.2 KB —
README.mdDocumentation1.4 KB —
SHA256SUMSOther957 B —
da3_stats_giant_5ds.tarOther163.8 KB 8ce801cfcb20
.gitattributesRepository1.5 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
11.1 GB
Download from ARC Lab, Tencent

Released by ARC Lab, Tencent through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published11.1 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Similar Models

Model · Image to video

Wan_2.2_ComfyUI_Repackaged

Comfy Org

Repackaged model files for ComfyUI. - https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers - https://huggingface.co/Wan-AI/Wan2.2-Animate-14B - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control-Camera - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-InP - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP - https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B - https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-S2V-14B - https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B…

Open weights apache-2.0 diffusion-single-file

Model · Image to video

LTX-2.5

LTX.io

LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing. Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE. - Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character…

Access requested at publisher other diffusion-single-file

Model · Image to video

LTX-2.5

Comfyicu

LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing. Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE. - Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character…

Open weights other diffusion-single-file

Model · Image to video

Minimax-h3-Turbo

Lightx2v

Please check our repository or the LightX2V MiniMax-H3 examples to reproduce the results. Please check the model specifications for more details. Try the MiniMax-H3 Turbo LoRA directly in LightX2V Studio: The Studio currently uses the FL2V 8-step v1.0 768p LoRA, which provides improved video and audio generation quality with 8-step inference. Integrate MiniMax-H3 Turbo into your application through the LightX2V API

Open weights apache-2.0 diffusers

Model · Image to video

MiniMax-H3-GGUF

Jay

This repository (Abiray/MiniMax-H3-GGUF) provides GGUF quantized versions and necessary component files for the MiniMax H3 model. MiniMax H3 is a general-purpose, omni-modal generative system that supports unified understanding of multimodal contexts composed of text, images, video, and audio. It can generate video with native stereo audio at resolutions up to 2K and durations of up to 15 seconds. If you are looking for a smaller model with the same great quality that fits better on consumer-tier GPUs, please check out the MiniMax-H3-Pruned-GGUF repository. The pruned architecture is compressed down to 8.9 GB – 21.6 GB, bringing MiniMax H3 execution directly to consumer hardware. This…

Open weights other

Model · Image to video

LTX-2.3

LTX.io

This model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. If you want to dive in right to the code - it is available here. LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. LTX-2.3 is accessible right away via the API Playground. You can use the models - full, distilled, upscalers and any…

Open weights other diffusers