flux2_klein_interleave_serve.yaml: run FastVideo as an InterleaveThinker-compatible generator service.
interleave_single_prompt.py: run the native FastVideo interleave orchestrator with a fallback single-prompt planner and accept-all critic.

Compatibility Service

This service starts a FastVideo-backed image endpoint compatible with InterleaveThinker-style generator calls.

InterleaveThinker reward code posts JSON to /edit:

{
  "image": "<optional base64 png>",
  "prompt": "make the sky sunset orange",
  "num_inference_step": 4,
  "guidance_scale": 1.0,
  "width": 1024,
  "height": 1024
}

FastVideo returns:

{
  "success": true,
  "edited_image": "<base64 png>",
  "file_path": "/abs/path/to/output.png"
}

Run:

FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA \
  fastvideo interleave-serve --config examples/interleave/flux2_klein_interleave_serve.yaml

Then point InterleaveThinker at:

export EDIT_API_ENDPOINT=http://<host>:8011
export EDIT_MODEL_NAME=klein

The same app also exposes /generate and /v1/interleave/edit aliases.

Native Single-Prompt Trace

Run:

FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA \
  python examples/interleave/interleave_single_prompt.py \
    --model-path black-forest-labs/FLUX.2-klein-4B \
    --prompt "a brushed steel espresso machine on a marble counter, morning window light" \
    --output-dir outputs/interleave_single_prompt

This writes an image plus trace.json. The trace records planner/generator/ critic attempts and omits base64 image payloads by default.