Document the weights layout at the repo root
Browse files- model_index.json +54 -0
model_index.json
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{
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"_comment": [
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"This repository holds several EVOKE checkpoints. It is NOT a single loadable",
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"diffusers pipeline root -- there is no top-level vae/ or transformer/, and",
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"DiffusionPipeline.from_pretrained() on this repo id will not work.",
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"",
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"Every released model directory is the PARENT of a transformer/, and loads as",
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" from_pretrained(<model_dir>, subfolder=\"transformer\")",
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"with the shared components taken from evoke-base/.",
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"",
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"EVOKE also pins a development fork of diffusers that is not on PyPI. See",
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"https://github.com/AlayaLab/Evoke for installation, weights layout and inference."
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],
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"_shipped_model": "evoke/stage3_post_distillation",
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"_base_components": "evoke-base",
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"_diffusers_fork_version": "0.37.0.dev0",
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"_models": {
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"evoke/stage1_camera_control": "multi-step camera-controllable model -- 50 steps, CFG 5.0",
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"evoke/stage2_few_step_training": "few-step distillation -- 3-step pyramid",
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"evoke/stage3_long_distillation": "30 s long-video distillation -- post-distill init",
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"evoke/stage3_post_distillation": "the shipped model -- 3 steps, CFG-free",
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"evoke/evoke_teacher": "dual-expert DMD teacher, {high,low}_noise -- training only"
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},
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"_components": {
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"evoke/<model>/transformer": [
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"evoke.modules.transformer_evoke",
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"EvokeTransformer3DModel"
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],
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"evoke-base/vae": [
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"diffusers",
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"AutoencoderKLWan"
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],
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"evoke-base/text_encoder": [
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"transformers",
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"UMT5EncoderModel"
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],
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"evoke-base/tokenizer": [
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"transformers",
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"T5TokenizerFast"
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],
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"evoke-base/scheduler": [
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"evoke.diffusers_version.scheduling_evoke_diffusers",
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"EvokeScheduler"
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]
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},
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"_external_weights": {
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"ViGeo": "pkqbajng/ViGeo -- REQUIRED depth backend, downloaded separately",
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"Depth-Anything-3": "depth-anything/da3-giant -- OPTIONAL, only for DEPTH_BACKEND=da3"
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}
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}
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