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Python guide

Generate comics with Python and explicit status handling.

A Python integration submits JSON to the generation endpoint and checks the returned generation ID and lifecycle state.

The example is a minimal server-side starting point, not a complete retry, queue, persistence, or webhook implementation.

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Verifiable request

Python request with error handling

Python
import os
import requests

response = requests.post(
    "https://api.llamagen.ai/v1/comics/generations",
    headers={"Authorization": f"Bearer {os.environ['LLAMAGEN_API_KEY']}"},
    json={
        "prompt": "A watercolor manga about a botanist on Mars.",
        "fixPanelNum": 4,
        "size": "1024x1536",
    },
    timeout=30,
)
response.raise_for_status()
generation = response.json()
print(generation["id"], generation["status"])

Structured response

State your application can route

response.jsonPROCESSED
{
  "id": "gen_abc123",
  "status": "PROCESSED",
  "comics": [
    {
      "page": 0,
      "panels": [
        {
          "panel": 0,
          "caption": "The first Martian flower opens.",
          "assetUrl": "https://cdn.llamagen.ai/comics/panel-1.webp"
        }
      ]
    }
  ]
}

Output evidence

Inspect the visual result and the machine-readable state.

The visual is evidence of the output category. The JSON is what lets an application correlate the generation, render a preview, store assets, and continue the workflow.

Generated comic returned by a Python Comic API request
Representative LlamaGen Comic API output. Exact composition varies by input and generation.

Capability and boundary facts

Facts an integration can verify.

Last verified:

Endpoint
POST /v1/comics/generations
Authentication
Bearer API key
Lifecycle
QUEUED → PROCESSING → PROCESSED or FAILED
Delivery
Poll by generation ID or use a callback URL
Runtime
Python server, worker, notebook, or pipeline

Good fit

Use it when

  • Content pipelines
  • Backend services
  • Data and automation workflows

Wrong fit

Do not use it for

  • Embedding long-lived keys in notebooks you share
  • Blocking a web request until image generation finishes
  • Ignoring HTTP errors

Production limits

Plan for the boundaries.

  • 01A production worker should use retries with backoff and persist the generation ID.
  • 02Set connection and read timeouts appropriate to your infrastructure.
  • 03Generation is asynchronous; production interfaces must handle processing and failure states.
  • 04Outputs should be reviewed against product, brand, safety, and print requirements before delivery.
  • 05You must have the rights to prompts, photos, scripts, and reference assets submitted to the API.

Next step

Move from evidence to a real API request.

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