Model reference · open weights
GAE-D64 is an open-weight video model from TencentARC. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | TencentARC |
|---|---|
| Type | Video models |
| Task | Image→video |
| Runs with | pytorch |
| Released | 2026-09-17 |
| Popularity | 0 downloads / month |
| Licence | Unknown |
About
Weights for GAE-64: a ~1B-parameter temporal DiT
(hidden_size=[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
depth-anything/DA3-GIANT-1.1.
From the GAE code repository:
scripts/run_demo.sh
Or, after the files are in ckpts/:
python scripts/generate.py \
--image examples/scenes/forest_lake_trail.jpg \
--prompt-file examples/scenes/forest_lake_trail.txt \
--flow-ckpt ckpts/flow_gae64.pt \
--codec-ckpt ckpts/gae_64.pt \
--output results/forest
Image-to-video uses 50 Euler steps and CFG 2 with one reference view.
Layout:
codec/ — safetensors + config.jsongae_64.pt — drop-in checkpoint for gae.load_codeclatent_stats_gae_64.pt — per-channel latent mean/stdda3_stats_giant_5ds.tar — DA3 feature-level normalization statstransformer/ — flow safetensors + config.jsonflow_gae64.pt — drop-in checkpoint for gae.load_flowFrom the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys gae-d64 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (gae-d64 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gae-d64","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.