330 lines
16 KiB
Python
330 lines
16 KiB
Python
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#!/usr/bin/env python3
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"""
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agent_short_drama.py — 苍耳 · 一键短剧 Agent
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剧本 → 分镜(豆包) → 路由(豆包) → 逐镜出图(本地Z-Image)
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→ 逐镜视频(LTX I2V, 本地) → 拼接(FFmpeg) → 成片
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用法:
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python agent_short_drama.py <剧本> -e 1 --until render # 只到出图
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python agent_short_drama.py <剧本> -e 1 --until video # 到视频
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python agent_short_drama.py <剧本> -e 1 --until compose # 到成片
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python agent_short_drama.py <分镜.json> --from render # 从出图续跑
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python agent_short_drama.py <manifest> --from video # 从视频续跑
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"""
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import os, sys, json, time, subprocess, urllib.request, argparse, glob, shutil
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COMFY = "http://127.0.0.1:8188"
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VIDEO_AI = os.path.dirname(os.path.abspath(__file__))
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COMFY_OUT = os.path.expanduser("~/comfy/ComfyUI/output")
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COMFY_IN = os.path.expanduser("~/comfy/ComfyUI/input")
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LTX_NEG = ("static, frozen, no movement, flickering, jittery, choppy motion, morphing, "
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"deformed, twisted, contorted, distorted, blurry, low resolution, extra limbs, "
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"unnatural body, ugly, bad anatomy, disfigured, malformed, warped spine")
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# ---------- 工具 ----------
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def run_script(script, args):
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cmd = [sys.executable, os.path.join(VIDEO_AI, script)] + args
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print(" $", " ".join(cmd))
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r = subprocess.run(cmd)
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if r.returncode != 0:
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raise RuntimeError(f"{script} 退出码 {r.returncode}")
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def comfy_submit(prompt):
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req = urllib.request.Request(f"{COMFY}/prompt",
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data=json.dumps({"prompt": prompt}).encode(),
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headers={"Content-Type": "application/json"})
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return json.load(urllib.request.urlopen(req, timeout=15))["prompt_id"]
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def comfy_wait(pid, timeout=900):
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t0 = time.time()
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while time.time() - t0 < timeout:
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time.sleep(3)
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try:
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h = json.load(urllib.request.urlopen(f"{COMFY}/history/{pid}", timeout=8))
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except Exception:
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continue
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if pid in h and h[pid].get("outputs"):
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return h[pid]["outputs"]
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raise TimeoutError(f"ComfyUI 任务 {pid} 超时")
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def wait_file(path, timeout=60):
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t0 = time.time()
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while time.time() - t0 < timeout:
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if os.path.isfile(path) and os.path.getsize(path) > 0:
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return True
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time.sleep(2)
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return False
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# ---------- Z-Image 出图 ----------
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def zimage_workflow(prompt, seed, prefix, width=1024, height=1024):
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return {
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"1": {"class_type": "UNETLoader", "inputs": {"unet_name": "z_image_turbo_bf16.safetensors", "weight_dtype": "default"}},
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"2": {"class_type": "CLIPLoader", "inputs": {"clip_name": "qwen_3_4b.safetensors", "type": "lumina2", "device": "default"}},
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"3": {"class_type": "VAELoader", "inputs": {"vae_name": "ae.safetensors"}},
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"4": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["2", 0], "text": prompt}},
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"5": {"class_type": "ConditioningZeroOut", "inputs": {"conditioning": ["4", 0]}},
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"6": {"class_type": "EmptySD3LatentImage", "inputs": {"width": width, "height": height, "batch_size": 1}},
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"7": {"class_type": "ModelSamplingAuraFlow", "inputs": {"model": ["1", 0], "shift": 3.0}},
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"8": {"class_type": "KSampler", "inputs": {"model": ["7", 0], "seed": seed, "steps": 8, "cfg": 1.0,
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"sampler_name": "res_multistep", "scheduler": "simple",
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"positive": ["4", 0], "negative": ["5", 0], "latent_image": ["6", 0], "denoise": 1.0}},
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"9": {"class_type": "VAEDecode", "inputs": {"samples": ["8", 0], "vae": ["3", 0]}},
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"10": {"class_type": "SaveImage", "inputs": {"images": ["9", 0], "filename_prefix": prefix}},
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}
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# ---------- LTX I2V 出视频 ----------
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def ltx_i2v_workflow(image_name, prompt, seed, prefix, frames=49, width=768, height=512):
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return {
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"1": {"class_type": "UnetLoaderGGUF", "inputs": {"unet_name": "ltx-2.3-22b-distilled-1.1-Q4_K_M.gguf"}},
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"2": {"class_type": "LTXAVTextEncoderLoader", "inputs": {"text_encoder": "gemma_3_12B_it.safetensors", "ckpt_name": "ltx-2.3-22b-embconn.safetensors", "device": "cpu"}},
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"3": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["2", 0], "text": prompt}},
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"4": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["2", 0], "text": LTX_NEG}},
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"5": {"class_type": "LTXVConditioning", "inputs": {"positive": ["3", 0], "negative": ["4", 0], "frame_rate": 24.0}},
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"6": {"class_type": "LoadImage", "inputs": {"image": image_name}},
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"7": {"class_type": "VAELoader", "inputs": {"vae_name": "LTX23_video_vae_bf16.safetensors"}},
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"8": {"class_type": "LTXVImgToVideo", "inputs": {"positive": ["5", 0], "negative": ["5", 1], "vae": ["7", 0], "image": ["6", 0], "width": width, "height": height, "length": frames, "batch_size": 1, "strength": 1.0}},
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"9": {"class_type": "RandomNoise", "inputs": {"noise_seed": seed}},
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"10": {"class_type": "KSamplerSelect", "inputs": {"sampler_name": "euler_ancestral_cfg_pp"}},
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"11": {"class_type": "CFGGuider", "inputs": {"model": ["1", 0], "positive": ["8", 0], "negative": ["8", 1], "cfg": 1.0}},
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"12": {"class_type": "ManualSigmas", "inputs": {"sigmas": "1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0"}},
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"13": {"class_type": "SamplerCustomAdvanced", "inputs": {"noise": ["9", 0], "guider": ["11", 0], "sampler": ["10", 0], "sigmas": ["12", 0], "latent_image": ["8", 2]}},
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"14": {"class_type": "LTXVTiledVAEDecode", "inputs": {"vae": ["7", 0], "latents": ["13", 0], "horizontal_tiles": 2, "vertical_tiles": 2, "overlap": 6, "last_frame_fix": False, "working_device": "cpu", "working_dtype": "float16"}},
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"15": {"class_type": "CreateVideo", "inputs": {"images": ["14", 0], "fps": 24.0}},
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"16": {"class_type": "SaveVideo", "inputs": {"video": ["15", 0], "filename_prefix": prefix, "format": "mp4", "codec": "h264"}},
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}
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def shot_to_prompt(shot, style=""):
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parts = []
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cam = shot.get('camera', '中景')
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scenes = shot.get('scenes', [])
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chars = shot.get('characters', [])
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desc = shot.get('description', '')
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if cam: parts.append(cam)
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if scenes: parts.append("in " + scenes[0])
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if chars: parts.append("with " + ", ".join(chars[:3]))
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if desc: parts.append(desc[:120])
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if style: parts.append(style)
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return ", ".join(parts)
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def shot_to_ltx_prompt(desc, camera=""):
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"""分镜 → LTX I2V 运动提示词（四段式简化：起势→动作→环境→收尾）"""
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base = (desc or "").strip()
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action = base if base else "the subject moves naturally"
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parts = [
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f"Opening on the first frame scene, {camera or 'medium shot'}. The subject {action}, "
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"with gentle flowing motion, grass and light drifting softly around. "
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"Camera holds steady, shallow depth of field, warm natural light. "
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"Slow, fluid, seamless motion, high detail. "
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"Ends with the subject settling into a calm final pose."
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]
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return " ".join(parts)
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# ---------- 各阶段 ----------
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def stage_storyboard(script, episode, pro=False):
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args = [script, "-e", str(episode)]
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if pro: args.append("--pro")
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run_script("tools/run_storyboard.py", args)
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d = os.path.dirname(os.path.abspath(script))
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m = glob.glob(os.path.join(d, "STORYBOARD*.json"))
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if not m:
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raise RuntimeError("未找到分镜 JSON")
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return m[0]
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def stage_route(sb_json):
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run_script("tools/route_shots.py", [sb_json])
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return sb_json
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def stage_render(sb_json, out_dir=None, style="", max_shots=0):
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sb = json.load(open(sb_json, encoding="utf-8"))
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shots = sb.get("shots", [])
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if max_shots: shots = shots[:max_shots]
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if not shots: raise RuntimeError("分镜无 shots")
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if not out_dir:
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out_dir = os.path.join(os.path.dirname(os.path.abspath(sb_json)), "renders")
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os.makedirs(out_dir, exist_ok=True)
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manifest = os.path.join(out_dir, "shot_manifest.json")
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entries = []
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for i, sh in enumerate(shots):
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p = shot_to_prompt(sh, style)
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seed = 1000 + i * 17
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prefix = f"eed_shot_{i+1:04d}"
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pid = comfy_submit(zimage_workflow(p, seed, prefix))
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print(f" 🎬 [{i+1}/{len(shots)}] {sh.get('shot_number', f'S{i+1:02d}')}: {p[:50]}...")
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comfy_wait(pid)
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# 等文件落盘
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img = os.path.join(COMFY_OUT, f"{prefix}_00001_.png")
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wait_file(img)
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entries.append({"shot": sh.get("shot_number", f"S{i+1:02d}"), "prompt": p, "ltx_desc": sh.get("description",""),
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"camera": sh.get("camera",""), "seed": seed, "prefix": prefix})
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with open(manifest, "w", encoding="utf-8") as f:
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json.dump({"out_dir": out_dir, "shots": entries}, f, ensure_ascii=False, indent=2)
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print(f" 📦 出图清单: {manifest}")
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return manifest
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def stage_video(manifest, frames=49, max_shots=0):
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data = json.load(open(manifest, encoding="utf-8"))
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entries = data["shots"]
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if max_shots: entries = entries[:max_shots]
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vdir = os.path.join(data["out_dir"], "videos")
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os.makedirs(vdir, exist_ok=True)
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vlist = []
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for i, e in enumerate(entries):
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src = os.path.join(COMFY_OUT, f"{e['prefix']}_00001_.png")
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if not os.path.isfile(src):
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print(f" ⚠️ 缺起始图 {src}，跳过 {e['shot']}"); continue
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iname = f"agent_shot_{i+1:04d}.png"
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shutil.copy(src, os.path.join(COMFY_IN, iname))
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prompt = shot_to_ltx_prompt(e.get("ltx_desc", ""), e.get("camera", ""))
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seed = 5000 + i * 29
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prefix = f"eed_vid_{i+1:04d}"
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pid = comfy_submit(ltx_i2v_workflow(iname, prompt, seed, prefix, frames=frames))
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print(f" 🎥 [{i+1}/{len(entries)}] {e['shot']} LTX I2V {frames}帧 提交，预计 {frames*4}s...")
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comfy_wait(pid, timeout=900)
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vout = os.path.join(COMFY_OUT, f"{prefix}_00001_.mp4")
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if not wait_file(vout, timeout=60):
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print(f" ⚠️ 视频未落盘 {vout}")
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continue
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dest = os.path.join(vdir, f"shot_{i+1:04d}.mp4")
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shutil.copy(vout, dest)
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vlist.append({"shot": e["shot"], "file": dest, "prompt": prompt})
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print(f" ✅ {e['shot']} → {dest}")
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vman = os.path.join(vdir, "video_manifest.json")
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with open(vman, "w", encoding="utf-8") as f:
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json.dump({"video_dir": vdir, "videos": vlist}, f, ensure_ascii=False, indent=2)
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print(f" 📦 视频清单: {vman}")
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return vman
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def stage_compose(vman_or_dir, output="", title="", credits=""):
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if os.path.isfile(vman_or_dir) and vman_or_dir.endswith("video_manifest.json"):
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d = json.load(open(vman_or_dir, encoding="utf-8"))
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folder = d["video_dir"]
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else:
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folder = vman_or_dir
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vids = sorted(glob.glob(os.path.join(folder, "shot_*.mp4")))
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if not vids:
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raise RuntimeError(f"没有可拼接的视频片段: {folder}")
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if not output:
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output = os.path.join(os.path.dirname(folder), "EP01.mp4")
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if len(vids) == 1 and not title and not credits:
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# 单段且无片头片尾：直接拷贝（LTX 视频无声，video_composer 方案B 会因缺音频流失败）
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shutil.copy(vids[0], output)
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print(f" 🎬 单段成片(直接拷贝): {output}")
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return output
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args = [folder, "-o", output]
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if title: args += ["--title", title]
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if credits: args += ["--credits", credits]
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run_script("tools/video_composer.py", args)
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print(f" 🎬 成片: {output}")
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return output
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def _video_duration(path):
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try:
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r = subprocess.run(["ffprobe", "-v", "quiet", "-show_entries", "format=duration",
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"-of", "csv=p=0", path], capture_output=True, text=True)
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return float(r.stdout.strip() or 0)
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except Exception:
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return 0
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def stage_audio_pipeline(sb_json, composed, ep_dir):
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"""⑥ 声画装配：配音 → 字幕 → BGM → 混音 → 有声终成片"""
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from tools import audio_pipeline as ap
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print(" 🎙 配音 (Edge-TTS)...")
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voice = ap.generate_voice(sb_json, ep_dir)
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print(" 📝 字幕...")
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ap.generate_srt(sb_json, ep_dir, voice)
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dur = _video_duration(composed) or 20
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print(f" 🎵 BGM ({dur:.0f}s)...")
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ap.generate_bgm(ep_dir, int(dur) + 2)
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final = os.path.join(ep_dir, "FINAL.mp4")
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print(" 🎛 混音...")
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ap.mix_final(composed, os.path.join(ep_dir, "voice"),
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os.path.join(ep_dir, "bgm.mp3"), final)
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print(f" 🎉 有声终成片: {final}")
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return final
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def main():
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ap = argparse.ArgumentParser(description="苍耳 · 一键短剧 Agent")
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ap.add_argument("input", help="剧本 / 分镜JSON(--from render,route) / 清单(--from video,compose)")
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ap.add_argument("-e", "--episode", type=int, default=1)
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ap.add_argument("--pro", action="store_true", help="分镜用Pro模型")
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ap.add_argument("--style", default="", help="全局风格")
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ap.add_argument("--until", choices=["storyboard","route","render","video","compose","audio"], default="render")
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ap.add_argument("--from", dest="from_stage", choices=["route","render","video","compose","audio"])
|
|||
|
|
ap.add_argument("--max-shots", type=int, default=0, help="只跑前 N 镜")
|
|||
|
|
ap.add_argument("--frames", type=int, default=49, help="LTX 视频帧数(默认49)")
|
|||
|
|
ap.add_argument("-o", "--output", default="", help="成片路径")
|
|||
|
|
args = ap.parse_args()
|
|||
|
|
|
|||
|
|
sb_json = None
|
|||
|
|
if args.from_stage in ("video", "compose"):
|
|||
|
|
manifest = args.input
|
|||
|
|
print(f"📖 从清单续跑: {manifest}")
|
|||
|
|
if args.from_stage == "video":
|
|||
|
|
vman = stage_video(manifest, frames=args.frames, max_shots=args.max_shots)
|
|||
|
|
if args.from_stage == "compose":
|
|||
|
|
out = stage_compose(manifest, args.output)
|
|||
|
|
print("🎯 成片完成:", out); return
|
|||
|
|
if args.from_stage == "audio":
|
|||
|
|
out = stage_compose(manifest, args.output)
|
|||
|
|
sb = glob.glob(os.path.join(os.path.dirname(os.path.dirname(out)), "STORYBOARD*.json"))
|
|||
|
|
if sb:
|
|||
|
|
ep_dir = os.path.dirname(os.path.abspath(out))
|
|||
|
|
final = stage_audio_pipeline(sb[0], out, ep_dir)
|
|||
|
|
print("🎯 有声终成片:", final)
|
|||
|
|
return
|
|||
|
|
print("🎯 阶段完成。续跑: --from compose")
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
if args.from_stage:
|
|||
|
|
sb_json = args.input
|
|||
|
|
if not os.path.isfile(sb_json):
|
|||
|
|
print(f"❌ 找不到分镜: {sb_json}"); sys.exit(1)
|
|||
|
|
print(f"📖 从分镜续跑: {sb_json}")
|
|||
|
|
else:
|
|||
|
|
if not os.path.isfile(args.input):
|
|||
|
|
print(f"❌ 找不到剧本: {args.input}"); sys.exit(1)
|
|||
|
|
print(f"🚀 苍耳 · 一键短剧 Agent | 剧本: {args.input} | EP{args.episode:02d} | 到: {args.until}")
|
|||
|
|
print("═" * 44); print("① 剧本→分镜 (豆包, ¥0.01/集 级)"); print("═" * 44)
|
|||
|
|
sb_json = stage_storyboard(args.input, args.episode, args.pro)
|
|||
|
|
print(f"✅ 分镜: {sb_json}")
|
|||
|
|
|
|||
|
|
if not sb_json: sys.exit(1)
|
|||
|
|
|
|||
|
|
if args.from_stage in (None, "storyboard") and args.until not in ("storyboard",):
|
|||
|
|
print("═" * 44); print("② 逐镜路由分配 (豆包)"); print("═" * 44)
|
|||
|
|
sb_json = stage_route(sb_json)
|
|||
|
|
print("✅ 路由完成")
|
|||
|
|
|
|||
|
|
if args.until in ("render", "video", "compose"):
|
|||
|
|
print("═" * 44); print("③ 逐镜出图 (本地 Z-Image, 零成本)"); print("═" * 44)
|
|||
|
|
manifest = stage_render(sb_json, style=args.style, max_shots=args.max_shots)
|
|||
|
|
else:
|
|||
|
|
print("🎯 阶段完成。"); return
|
|||
|
|
|
|||
|
|
if args.until in ("video", "compose"):
|
|||
|
|
print("═" * 44); print("④ 逐镜视频 (本地 LTX I2V, 零成本)"); print("═" * 44)
|
|||
|
|
vman = stage_video(manifest, frames=args.frames, max_shots=args.max_shots)
|
|||
|
|
else:
|
|||
|
|
print("🎯 出图完成。续跑: --from video <清单> 或 --until video")
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
if args.until in ("compose", "audio"):
|
|||
|
|
print("═" * 44); print("⑤ 剪辑拼接 (FFmpeg)"); print("═" * 44)
|
|||
|
|
out = stage_compose(vman, args.output)
|
|||
|
|
print(f"\n🎬 成片: {out}")
|
|||
|
|
if args.until == "audio":
|
|||
|
|
print("═" * 44); print("⑥ 声画装配 (配音+字幕+BGM+混音)"); print("═" * 44)
|
|||
|
|
sb = sb_json or (glob.glob(os.path.join(os.path.dirname(os.path.dirname(out)), "STORYBOARD*.json")) or [None])[0]
|
|||
|
|
if sb:
|
|||
|
|
ep_dir = os.path.dirname(os.path.abspath(out))
|
|||
|
|
final = stage_audio_pipeline(sb, out, ep_dir)
|
|||
|
|
print(f"\n🎉🎉 有声终成片: {final}")
|
|||
|
|
else:
|
|||
|
|
print("⚠️ 未找到分镜JSON，跳过声画装配")
|
|||
|
|
elif args.until != "compose":
|
|||
|
|
print("🎯 视频完成。续跑: --from compose <清单> 或 --until compose/audio")
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
main()
|