model_index.json

{
  "_comment": [
    "This repository holds several EVOKE checkpoints. It is NOT a single loadable",
    "diffusers pipeline root -- there is no top-level vae/ or transformer/, and",
    "DiffusionPipeline.from_pretrained() on this repo id will not work.",
    "",
    "Every released model directory is the PARENT of a transformer/, and loads as",
    "  from_pretrained(<model_dir>, subfolder=\"transformer\")",
    "with the shared components taken from evoke-base/.",
    "",
    "EVOKE also pins a development fork of diffusers that is not on PyPI. See",
    "https://github.com/AlayaLab/Evoke for installation, weights layout and inference."
  ],

  "_shipped_model": "evoke/stage3_post_distillation",
  "_base_components": "evoke-base",
  "_diffusers_fork_version": "0.37.0.dev0",

  "_models": {
    "evoke/stage1_camera_control": "multi-step camera-controllable model -- 50 steps, CFG 5.0",
    "evoke/stage2_few_step_training": "few-step distillation -- 3-step pyramid",
    "evoke/stage3_long_distillation": "30 s long-video distillation -- post-distill init",
    "evoke/stage3_post_distillation": "the shipped model -- 3 steps, CFG-free",
    "evoke/evoke_teacher": "dual-expert DMD teacher, {high,low}_noise -- training only"
  },

  "_components": {
    "evoke/<model>/transformer": [
      "evoke.modules.transformer_evoke",
      "EvokeTransformer3DModel"
    ],
    "evoke-base/vae": [
      "diffusers",
      "AutoencoderKLWan"
    ],
    "evoke-base/text_encoder": [
      "transformers",
      "UMT5EncoderModel"
    ],
    "evoke-base/tokenizer": [
      "transformers",
      "T5TokenizerFast"
    ],
    "evoke-base/scheduler": [
      "evoke.diffusers_version.scheduling_evoke_diffusers",
      "EvokeScheduler"
    ]
  },

  "_external_weights": {
    "ViGeo": "pkqbajng/ViGeo -- REQUIRED depth backend, downloaded separately",
    "Depth-Anything-3": "depth-anything/da3-giant -- OPTIONAL, only for DEPTH_BACKEND=da3"
  }
}