| """临时调试节点: 导出 CLIP 的 cond embeds 到 models/minimax_h3_adapter/cond_official_ref.npy。 |
| |
| 用法（黑屏诊断，插进官方工作流）: |
| CLIPLoader(官方 qwen3vl-32B GGUF) -> MiniMaxH3ExportCond -> MiniMaxH3ImageToVideo |
| 节点透传 clip 对象（不改变工作流行为），执行时导出 cond npy 并打印路径。 |
| ComfyUI 惰性执行会剪枝无输出节点，故必须输出透传 clip 才能被触发。 |
| """ |
| import os |
|
|
| import numpy as np |
|
|
| import folder_paths |
|
|
|
|
| class MiniMaxH3ExportCond: |
| @classmethod |
| def INPUT_TYPES(cls): |
| return {"required": { |
| "clip": ("CLIP",), |
| "prompt": ("STRING", {"default": "a red apple rotating on a wooden table, studio lighting, 3d render", |
| "multiline": True}), |
| }} |
|
|
| RETURN_TYPES = ("CLIP",) |
| RETURN_NAMES = ("clip",) |
| FUNCTION = "run" |
| CATEGORY = "model/conditioning/minimax" |
|
|
| def run(self, clip, prompt): |
| tokens = clip.tokenize(prompt) |
| cond = clip.encode_from_tokens_scheduled(tokens) |
| embeds = cond[0][0].float().cpu().numpy() |
| out_dir = folder_paths.get_folder_paths("minimax_h3_adapter")[0] |
| os.makedirs(out_dir, exist_ok=True) |
| path = os.path.join(out_dir, "cond_official_ref.npy") |
| np.save(path, embeds) |
| extra = "" |
| if len(cond[0]) > 1 and isinstance(cond[0][1], dict) and "minimax_token_tags" in cond[0][1]: |
| tags = cond[0][1]["minimax_token_tags"].cpu().numpy() |
| extra = f" tags_unique={sorted(set(tags.tolist()))}" |
| print(f"[export_cond] saved {path} shape={embeds.shape} dtype={embeds.dtype}{extra}", flush=True) |
| return (clip,) |
|
|
