"""Submit a compact FL2VA prompt-only sampler reference graph."""

import json
from urllib.request import Request, urlopen


prompt = {
    "1": {"class_type": "UNETLoader", "inputs": {"unet_name": "minimax_h3_fl2va_pruned_nvfp4.safetensors", "weight_dtype": "default"}},
    "3": {"class_type": "CLIPLoader", "inputs": {"clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors", "type": "minimax"}},
    "4": {"class_type": "VAELoader", "inputs": {"vae_name": "minimax_h3_video_vae_fp16.safetensors"}},
    "8": {"class_type": "MiniMaxH3ImageToVideo", "inputs": {"clip": ["3", 0], "vae": ["4", 0], "prompt": "A brass-and-paper dragon flies above a rain-washed old city at blue hour.", "width": 320, "height": 192, "length": 22}},
    "9": {"class_type": "BasicGuider", "inputs": {"model": ["1", 0], "conditioning": ["8", 0]}},
    "10": {"class_type": "RandomNoise", "inputs": {"noise_seed": 440204}},
    "11": {"class_type": "KSamplerSelect", "inputs": {"sampler_name": "res_multistep"}},
    "12": {"class_type": "BasicScheduler", "inputs": {"model": ["1", 0], "scheduler": "beta", "steps": 12, "denoise": 1.0}},
    "13": {"class_type": "SamplerCustomAdvanced", "inputs": {"noise": ["10", 0], "guider": ["9", 0], "sampler": ["11", 0], "sigmas": ["12", 0], "latent_image": ["8", 1]}},
    "14": {"class_type": "VAEDecode", "inputs": {"samples": ["13", 0], "vae": ["4", 0]}},
    "15": {"class_type": "SaveImage", "inputs": {"images": ["14", 0], "filename_prefix": "h3-blackwell-runtime/fl2va-reference"}},
}
request = Request("http://localhost:8188/prompt", data=json.dumps({"prompt": prompt}).encode(), headers={"Content-Type": "application/json"})
with urlopen(request) as response:
    print(response.read().decode())