MODEL_DEPENDENCIES.json

{
  "schema_version": "model_dependencies.v1",
  "self_contained": false,
  "model_kind": "full_diffusers_pipeline_with_external_components",
  "base_model_required": false,
  "base_model_id": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
  "adapter_application_method": "N/A",
  "dependencies": [
    {
      "component": "scheduler",
      "source_repo": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
      "subfolder": "scheduler",
      "type": "diffusers.UniPCMultistepScheduler"
    },
    {
      "component": "text_encoder",
      "source_repo": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
      "subfolder": "text_encoder",
      "type": "transformers.UMT5EncoderModel"
    },
    {
      "component": "tokenizer",
      "source_repo": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
      "subfolder": "tokenizer",
      "type": "transformers.T5TokenizerFast"
    },
    {
      "component": "vae",
      "source_repo": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
      "subfolder": "vae",
      "type": "diffusers.AutoencoderKLWan"
    },
    {
      "component": "transformer",
      "source_repo": "krea/krea-realtime-video",
      "subfolder": "transformer",
      "type": "diffusers.CausalWanModel (trust_remote_code)"
    },
    {
      "component": "pipeline_blocks",
      "source_repo": "krea/krea-realtime-video",
      "subfolder": "root",
      "type": "diffusers_modular_pipelines.WanRTBlocks (trust_remote_code)"
    }
  ],
  "missing_or_uncertain_dependencies": [],
  "impact_on_strategy": "Since VAE, text_encoder, tokenizer and scheduler are externally sourced from Wan-AI/Wan2.1-T2V-14B-Diffusers, the app must allow Hub downloads for these components. Both the krea repo and the Wan-AI diffusers repo are public (not gated), so no token-gated access issue exists. The VRAM footprint includes both the 14B krea transformer and the UMT5-XXL text encoder, making this a very large pipeline."
}