| """Submit the H3ContactSheet parity-test graph to :8188 and wait for it.""" |
| import json |
| import sys |
| import time |
| import urllib.request |
|
|
| API = "http://127.0.0.1:8188" |
| REF = "/path/to/your_reference.png" |
| SIZE = int(sys.argv[1]) if len(sys.argv) > 1 else 512 |
| LORA = "minimax_h3_five_view_512_s1500.safetensors" |
|
|
| |
| import shutil, os |
| shutil.copyfile(REF, "<your ComfyUI>/input/cs_test_ref.png") |
|
|
| g = { |
| "u": {"class_type": "UNETLoader", "inputs": { |
| "unet_name": "minimax_h3/minimax_h3_ref2va_pruned_int8_convrot.safetensors", |
| "weight_dtype": "default"}}, |
| "lo": {"class_type": "LoraLoaderModelOnly", "inputs": { |
| "lora_name": LORA, "strength_model": 1.0, "model": ["u", 0]}}, |
| "c": {"class_type": "CLIPLoader", "inputs": { |
| "clip_name": "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors", |
| "type": "minimax", "device": "default"}}, |
| "v": {"class_type": "VAELoader", "inputs": { |
| "vae_name": "minimax_h3/minimax_h3_video_vae_fp16.safetensors"}}, |
| "img": {"class_type": "LoadImage", "inputs": {"image": "cs_test_ref.png"}}, |
| "cs": {"class_type": "H3ContactSheet", "inputs": { |
| "clip": ["c", 0], "vae": ["v", 0], |
| "prompt": "the camera orbits the subject of <Picture 1> ninety degrees clockwise", |
| "ref_image": ["img", 0], "size": SIZE}}, |
| "g": {"class_type": "BasicGuider", "inputs": { |
| "model": ["lo", 0], "conditioning": ["cs", 0]}}, |
| "sch": {"class_type": "BasicScheduler", "inputs": { |
| "model": ["lo", 0], "scheduler": "simple", "steps": 28, "denoise": 1.0}}, |
| "ks": {"class_type": "KSamplerSelect", "inputs": {"sampler_name": "res_multistep"}}, |
| "n": {"class_type": "RandomNoise", "inputs": {"noise_seed": 42}}, |
| "s": {"class_type": "SamplerCustomAdvanced", "inputs": { |
| "noise": ["n", 0], "guider": ["g", 0], "sampler": ["ks", 0], |
| "sigmas": ["sch", 0], "latent_image": ["cs", 1]}}, |
| "dec": {"class_type": "H3ContactSheetDecode", "inputs": { |
| "vae": ["v", 0], "samples": ["s", 0]}}, |
| "save": {"class_type": "SaveImage", "inputs": { |
| "images": ["dec", 1], "filename_prefix": "cs_node_test"}}, |
| "save2": {"class_type": "SaveImage", "inputs": { |
| "images": ["dec", 0], "filename_prefix": "cs_node_test_views"}}, |
| } |
|
|
| req = urllib.request.Request(API + "/prompt", |
| data=json.dumps({"prompt": g, "client_id": "cs-test"}).encode(), |
| headers={"Content-Type": "application/json"}) |
| r = json.load(urllib.request.urlopen(req)) |
| pid = r.get("prompt_id") |
| print("queued", pid, r.get("node_errors") or "") |
| t0 = time.time() |
| while True: |
| time.sleep(5) |
| h = json.load(urllib.request.urlopen(f"{API}/history/{pid}")) |
| if pid in h: |
| st = h[pid]["status"] |
| print("status:", st.get("status_str"), f"{time.time()-t0:.0f}s") |
| if st.get("status_str") == "error": |
| for m in st.get("messages", []): |
| if m[0] == "execution_error": |
| print(json.dumps(m[1], indent=1)[:2000]) |
| else: |
| for nid, out in h[pid].get("outputs", {}).items(): |
| for im in out.get("images", []): |
| print("output:", im["filename"]) |
| break |
| if time.time() - t0 > 900: |
| print("TIMEOUT"); break |
|
|
