Text-to-Video
Diffusers
Safetensors
world-model
video-generation
image-to-video
interactive
camera-control
distillation
Instructions to use AlayaLab/Evoke-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlayaLab/Evoke-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlayaLab/Evoke-Turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Release Evoke-Turbo merged FP32 checkpoint and model card
Browse filesPublish the reviewed checkpoint-800 merged transformer at the repository root, preserving original FP32 weights. Include Evoke-compatible usage, WBench results, license and citation.
- LICENSE +201 -0
- README.md +98 -0
- config.json +51 -0
- diffusion_pytorch_model-00001-of-00006.safetensors +3 -0
- diffusion_pytorch_model-00002-of-00006.safetensors +3 -0
- diffusion_pytorch_model-00003-of-00006.safetensors +3 -0
- diffusion_pytorch_model-00004-of-00006.safetensors +3 -0
- diffusion_pytorch_model-00005-of-00006.safetensors +3 -0
- diffusion_pytorch_model-00006-of-00006.safetensors +3 -0
- diffusion_pytorch_model.safetensors.index.json +1108 -0
LICENSE
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README.md
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---
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license: apache-2.0
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---
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| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
base_model: AlayaLab/Evoke
|
| 4 |
+
pipeline_tag: text-to-video
|
| 5 |
+
inference: false
|
| 6 |
+
tags:
|
| 7 |
+
- world-model
|
| 8 |
+
- video-generation
|
| 9 |
+
- text-to-video
|
| 10 |
+
- image-to-video
|
| 11 |
+
- interactive
|
| 12 |
+
- camera-control
|
| 13 |
+
- distillation
|
| 14 |
---
|
| 15 |
+
|
| 16 |
+
<h1 align="center">Evoke-Turbo</h1>
|
| 17 |
+
|
| 18 |
+
<p align="center">
|
| 19 |
+
<a href="https://github.com/AlayaLab/Evoke">GitHub</a> ·
|
| 20 |
+
<a href="https://evoke-world.github.io/Evoke/">Project Page</a> ·
|
| 21 |
+
<a href="https://arxiv.org/abs/2608.13546">Paper</a> ·
|
| 22 |
+
<a href="https://huggingface.co/AlayaLab/Evoke">Evoke Weights</a> ·
|
| 23 |
+
<a href="https://meituan-longcat.github.io/WBench/">WBench</a>
|
| 24 |
+
</p>
|
| 25 |
+
|
| 26 |
+
<p align="center">
|
| 27 |
+
<a href="https://huggingface.co/AlayaLab/Evoke-Turbo"><img src="https://img.shields.io/huggingface/dm/AlayaLab/Evoke-Turbo" alt="Hugging Face monthly downloads"></a>
|
| 28 |
+
</p>
|
| 29 |
+
|
| 30 |
+
**Evoke-Turbo** is an Evoke checkpoint optimized for **controllability**, focusing on camera-motion following and scene/subject instruction adherence while maintaining video quality and temporal consistency.
|
| 31 |
+
|
| 32 |
+
It uses the **same architecture and inference workflow as [Evoke](https://huggingface.co/AlayaLab/Evoke)**: **3 sampling steps, no CFG, and 384 × 640 video at 24 fps**. Use the existing Evoke code and inference scripts with the Turbo weights.
|
| 33 |
+
|
| 34 |
+
## Contents
|
| 35 |
+
|
| 36 |
+
**This repository provides only the merged Evoke-Turbo transformer weights.** Shared base components and the other training-stage checkpoints are available from [AlayaLab/Evoke](https://huggingface.co/AlayaLab/Evoke).
|
| 37 |
+
|
| 38 |
+
The complete local model layout can be organized as follows:
|
| 39 |
+
|
| 40 |
+
```text
|
| 41 |
+
models/
|
| 42 |
+
├── evoke-base/ # VAE / text encoder / tokenizer / scheduler; from Evoke
|
| 43 |
+
├── evoke/ # original checkpoints; from Evoke
|
| 44 |
+
│ ├── stage1_camera_control/transformer/ # multi-step camera control
|
| 45 |
+
│ ├── stage2_few_step_training/transformer/ # 3-step distillation
|
| 46 |
+
│ ├── stage3_long_distillation/transformer/ # long-video distillation
|
| 47 |
+
│ ├── stage3_post_distillation/transformer/ # original shipped Evoke model
|
| 48 |
+
│ └── evoke_teacher/{high,low}_noise/ # training-only teacher experts
|
| 49 |
+
├── evoke-turbo/transformer/ # this release
|
| 50 |
+
└── ViGeo1.1/ # separate depth backend
|
| 51 |
+
```
|
| 52 |
+
|
| 53 |
+
The **Hugging Face repository itself is flat**: `config.json`, `diffusion_pytorch_model.safetensors.index.json`, and six Safetensors shards are at the root. Download them into the local `models/evoke-turbo/transformer/` directory so the existing Evoke loader can use its unchanged `subfolder="transformer"` convention.
|
| 54 |
+
|
| 55 |
+
**Precision:** all 1,101 tensors are stored in **FP32**, matching Evoke's `stage3_post_distillation` release. This is a complete merged checkpoint (approximately 14.31B parameters, 57.25 GB), with no separate adapter required. Inference retains Evoke's existing BF16/FP32 loading policy.
|
| 56 |
+
|
| 57 |
+
## Usage
|
| 58 |
+
|
| 59 |
+
```bash
|
| 60 |
+
git clone https://github.com/AlayaLab/Evoke && cd Evoke
|
| 61 |
+
pip install -r requirements.txt
|
| 62 |
+
|
| 63 |
+
# Shared base components; other Evoke training stages are optional for Turbo inference.
|
| 64 |
+
hf download AlayaLab/Evoke --include "evoke-base/*" --local-dir models
|
| 65 |
+
hf download AlayaLab/Evoke-Turbo --local-dir models/evoke-turbo/transformer
|
| 66 |
+
hf download pkqbajng/ViGeo --local-dir models/ViGeo1.1 # REQUIRED depth backend
|
| 67 |
+
|
| 68 |
+
TRANSFORMER_PATH=models/evoke-turbo MODE=t2v NUM_CHUNKS=20 \
|
| 69 |
+
bash scripts/inference/infer_post_distill.sh
|
| 70 |
+
```
|
| 71 |
+
|
| 72 |
+
To also download the complete original Evoke model collection shown above, use `hf download AlayaLab/Evoke --local-dir models`. Keep the Turbo weights in their separate local directory and select them with `TRANSFORMER_PATH`.
|
| 73 |
+
|
| 74 |
+
Inference modes, camera inputs, prompt switching, long rollouts, and training are documented in the [Evoke GitHub repository](https://github.com/AlayaLab/Evoke). Camera-controlled generation uses the corresponding image/video and pose inputs; the prompt-only `t2v` example does not use camera control.
|
| 75 |
+
|
| 76 |
+
## WBench
|
| 77 |
+
|
| 78 |
+
Evaluation on the [WBench](https://meituan-longcat.github.io/WBench/) navigation split (158 cases). Interaction includes **Navigation only**.
|
| 79 |
+
|
| 80 |
+
| Model | Video Quality | Setting | Navigation | Consistency | Physical | Avg |
|
| 81 |
+
|---|---:|---:|---:|---:|---:|---:|
|
| 82 |
+
| [Evoke](https://huggingface.co/AlayaLab/Evoke) | 82.7900 | 83.7600 | 78.6300 | 86.8700 | 72.0550 | 80.8210 |
|
| 83 |
+
| **Evoke-Turbo** | 81.8914 | 82.0518 | 83.8978 | 88.1469 | 74.0133 | **82.0003** |
|
| 84 |
+
|
| 85 |
+
Evoke-Turbo reports the initial scores of a seed-44 development selection from six prompt variants; these are evaluation-selected results. Evoke uses its [published reference scores](https://huggingface.co/datasets/SII-YuanyangYin/wbench_results/resolve/1e9401f827a2bb7bfe2a15b6c67df4fa8d5ae786/FINAL_SCORES.csv), rather than a rerun with identical prompts and poses.
|
| 86 |
+
|
| 87 |
+
## Notes
|
| 88 |
+
|
| 89 |
+
The shared `evoke-base/` components and depth backend are downloaded separately. See the [original Evoke model card](https://huggingface.co/AlayaLab/Evoke) for their provenance and dependency licenses. The Apache-2.0 license of this repository does not replace the licenses of external components.
|
| 90 |
+
|
| 91 |
+
## Citation
|
| 92 |
+
|
| 93 |
+
```bibtex
|
| 94 |
+
@article{evoke2026,
|
| 95 |
+
title = {Alaya-EVOKE: From Linear-Scaling Supervision to Endless World},
|
| 96 |
+
author = {Yin, Yuanyang and Wang, Gongxuan and Zhan, Yifan and
|
| 97 |
+
Li, Chuanhao and Zhang, Kaipeng and Zhao, Feng},
|
| 98 |
+
journal = {arXiv preprint arXiv:2608.13546},
|
| 99 |
+
year = {2026},
|
| 100 |
+
}
|
| 101 |
+
```
|
config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "EvokeTransformer3DModel",
|
| 3 |
+
"_diffusers_version": "0.39.0.dev0",
|
| 4 |
+
"added_kv_proj_dim": null,
|
| 5 |
+
"attention_head_dim": 128,
|
| 6 |
+
"cam_ctrl_layers": null,
|
| 7 |
+
"cam_rank": 128,
|
| 8 |
+
"cross_attn_norm": true,
|
| 9 |
+
"enable_cam_control": false,
|
| 10 |
+
"eps": 1e-06,
|
| 11 |
+
"ffn_dim": 13824,
|
| 12 |
+
"freq_dim": 256,
|
| 13 |
+
"gan_cond_map_dim": 768,
|
| 14 |
+
"gan_hooks": [
|
| 15 |
+
5,
|
| 16 |
+
15,
|
| 17 |
+
25,
|
| 18 |
+
35
|
| 19 |
+
],
|
| 20 |
+
"guidance_cross_attn": true,
|
| 21 |
+
"has_multi_term_memory_patch": true,
|
| 22 |
+
"history_scale_mode": "per_head",
|
| 23 |
+
"image_dim": null,
|
| 24 |
+
"in_channels": 16,
|
| 25 |
+
"is_amplify_history": false,
|
| 26 |
+
"is_train_restrict_lora": false,
|
| 27 |
+
"is_use_gan": false,
|
| 28 |
+
"is_use_gan_final": false,
|
| 29 |
+
"is_use_gan_hooks": false,
|
| 30 |
+
"num_attention_heads": 40,
|
| 31 |
+
"num_layers": 40,
|
| 32 |
+
"out_channels": 16,
|
| 33 |
+
"patch_size": [
|
| 34 |
+
1,
|
| 35 |
+
2,
|
| 36 |
+
2
|
| 37 |
+
],
|
| 38 |
+
"qk_norm": "rms_norm_across_heads",
|
| 39 |
+
"restrict_lora": false,
|
| 40 |
+
"restrict_lora_rank": 128,
|
| 41 |
+
"restrict_self_attn": false,
|
| 42 |
+
"rope_dim": [
|
| 43 |
+
44,
|
| 44 |
+
42,
|
| 45 |
+
42
|
| 46 |
+
],
|
| 47 |
+
"rope_theta": 10000.0,
|
| 48 |
+
"text_dim": 4096,
|
| 49 |
+
"use_raw_sink_frames": true,
|
| 50 |
+
"zero_history_timestep": true
|
| 51 |
+
}
|
diffusion_pytorch_model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f4cde36923aa4c0bb1c26c83a8078bb9f2131f3e10f327d31e0d17286b52968
|
| 3 |
+
size 9887562344
|
diffusion_pytorch_model-00002-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e5eb26b71421b104aa3d64f04a337c7fae83ec8c6fac339169f95f3d4f3b671
|
| 3 |
+
size 9943937952
|
diffusion_pytorch_model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c56b69e1147b37476844d07df2f333bbd46c16da05c631e7d0f32f1a696b6655
|
| 3 |
+
size 9943938056
|
diffusion_pytorch_model-00004-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d4483b80540cd7503f34564f9406e884b9861d352a698422d08c30c2ddb1193c
|
| 3 |
+
size 9944020376
|
diffusion_pytorch_model-00005-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:c241c8ac454556ec1b8c613f5949ae2d6ae8685230ddbb3296bb850977396618
|
| 3 |
+
size 9839059792
|
diffusion_pytorch_model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 7691303856
|
diffusion_pytorch_model.safetensors.index.json
ADDED
|
@@ -0,0 +1,1108 @@
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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