workflow.json

{
  "schema_version": "2",
  "name": "Z-Image-Turbo",
  "description": "Two-Space architecture: this Space is a gr.Workflow frontend that calls the akhaliq/Z-Image-Turbo Blocks backend via its /generate_image endpoint. The canvas forwards the visitor's HF OAuth token through gradio_client's call_space path, so signed-in PRO users get their proper quota metered against the backend Space.",
  "runtime": { "default": "client" },
  "view": { "default": "canvas" },
  "references": [
    {
      "id": "ref_prompt",
      "label": "Prompt",
      "role": "reference",
      "asset_type": "text",
      "inputs": [{ "id": "in", "label": "Prompt", "type": "text" }],
      "outputs": [{ "id": "out", "label": "Prompt", "type": "text" }],
      "x": 60,
      "y": 160,
      "width": 240,
      "height": 120,
      "data": {
        "out": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
      }
    },
    {
      "id": "ref_height",
      "label": "Height",
      "role": "reference",
      "asset_type": "number",
      "inputs": [{ "id": "in", "label": "Height", "type": "number" }],
      "outputs": [{ "id": "out", "label": "Height", "type": "number" }],
      "x": 60,
      "y": 300,
      "width": 200,
      "height": 90,
      "data": { "out": 1024 }
    },
    {
      "id": "ref_width",
      "label": "Width",
      "role": "reference",
      "asset_type": "number",
      "inputs": [{ "id": "in", "label": "Width", "type": "number" }],
      "outputs": [{ "id": "out", "label": "Width", "type": "number" }],
      "x": 60,
      "y": 410,
      "width": 200,
      "height": 90,
      "data": { "out": 1024 }
    },
    {
      "id": "ref_steps",
      "label": "Inference Steps",
      "role": "reference",
      "asset_type": "number",
      "inputs": [{ "id": "in", "label": "Steps", "type": "number" }],
      "outputs": [{ "id": "out", "label": "Steps", "type": "number" }],
      "x": 60,
      "y": 520,
      "width": 200,
      "height": 90,
      "data": { "out": 9 }
    },
    {
      "id": "ref_seed",
      "label": "Seed",
      "role": "reference",
      "asset_type": "number",
      "inputs": [{ "id": "in", "label": "Seed", "type": "number" }],
      "outputs": [{ "id": "out", "label": "Seed", "type": "number" }],
      "x": 60,
      "y": 630,
      "width": 200,
      "height": 90,
      "data": { "out": 42 }
    },
    {
      "id": "ref_randomize",
      "label": "Randomize Seed",
      "role": "reference",
      "asset_type": "boolean",
      "inputs": [{ "id": "in", "label": "Randomize", "type": "boolean" }],
      "outputs": [{ "id": "out", "label": "Randomize", "type": "boolean" }],
      "x": 60,
      "y": 740,
      "width": 200,
      "height": 90,
      "data": { "out": true }
    }
  ],
  "operators": [
    {
      "id": "op_generate",
      "label": "Z-Image-Turbo (backend)",
      "role": "operator",
      "kind": "space",
      "source": "hf://spaces/akhaliq/Z-Image-Turbo",
      "space_id": "akhaliq/Z-Image-Turbo",
      "endpoint": "/generate_image",
      "inputs": [
        { "id": "in_0", "label": "prompt", "type": "text", "required": true },
        { "id": "in_1", "label": "height", "type": "number" },
        { "id": "in_2", "label": "width", "type": "number" },
        { "id": "in_3", "label": "num_inference_steps", "type": "number" },
        { "id": "in_4", "label": "seed", "type": "number" },
        { "id": "in_5", "label": "randomize_seed", "type": "boolean" }
      ],
      "outputs": [
        { "id": "out_0", "label": "image", "type": "image", "output_index": 0 },
        { "id": "out_1", "label": "seed_used", "type": "number", "output_index": 1 }
      ],
      "x": 420,
      "y": 320,
      "width": 280,
      "height": 220,
      "data": {}
    }
  ],
  "subjects": [
    {
      "id": "sub_image",
      "label": "Output Image",
      "role": "subject",
      "asset_type": "image",
      "inputs": [{ "id": "in", "label": "Image", "type": "image" }],
      "outputs": [{ "id": "out", "label": "Image", "type": "image" }],
      "x": 820,
      "y": 280,
      "width": 240,
      "height": 130,
      "data": {}
    },
    {
      "id": "sub_seed",
      "label": "Seed Used",
      "role": "subject",
      "asset_type": "number",
      "inputs": [{ "id": "in", "label": "Seed", "type": "number" }],
      "outputs": [{ "id": "out", "label": "Seed", "type": "number" }],
      "x": 820,
      "y": 460,
      "width": 240,
      "height": 100,
      "data": {}
    }
  ],
  "edges": [
    { "id": "e_prompt",     "from_node_id": "ref_prompt",     "from_port_id": "out", "to_node_id": "op_generate", "to_port_id": "in_0", "type": "text" },
    { "id": "e_height",     "from_node_id": "ref_height",     "from_port_id": "out", "to_node_id": "op_generate", "to_port_id": "in_1", "type": "number" },
    { "id": "e_width",      "from_node_id": "ref_width",      "from_port_id": "out", "to_node_id": "op_generate", "to_port_id": "in_2", "type": "number" },
    { "id": "e_steps",      "from_node_id": "ref_steps",      "from_port_id": "out", "to_node_id": "op_generate", "to_port_id": "in_3", "type": "number" },
    { "id": "e_seed",       "from_node_id": "ref_seed",       "from_port_id": "out", "to_node_id": "op_generate", "to_port_id": "in_4", "type": "number" },
    { "id": "e_randomize",  "from_node_id": "ref_randomize",  "from_port_id": "out", "to_node_id": "op_generate", "to_port_id": "in_5", "type": "boolean" },
    { "id": "e_image_out",  "from_node_id": "op_generate",    "from_port_id": "out_0", "to_node_id": "sub_image", "to_port_id": "in", "type": "image" },
    { "id": "e_seed_out",   "from_node_id": "op_generate",    "from_port_id": "out_1", "to_node_id": "sub_seed",  "to_port_id": "in", "type": "number" }
  ]
}