refactor: 重构 Seedance 节点，三合一并修复轮询 Bug
- 将 SeedanceT2V / SeedanceI2V / SeedanceFlipFlop 合并为单一 Seedance 节点 - 通过图片输入自动判断模式：无图=文生视频，首帧=图生视频，首尾帧=首尾帧模式 - 修复轮询状态字段取值路径错误导致的无限循环问题 - 修复视频 URL / 末帧 URL 取值路径（result.data.content.video_url） - 新增末帧图片 IMAGE 输出端，支持 return_last_frame 功能 - 删除水印、服务等级前端参数，移除 1.0/1.5 旧模型，去掉 1080p 分辨率 - 关闭 DEBUG 原始响应日志，仅保留用户可见进度日志 Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
This commit is contained in:
Jony
co-authored by
Claude Sonnet 4.5
Claude Sonnet 4.5
parent
03d477648a
commit
0ddc571f20
+134
-305
@@ -1,17 +1,19 @@
|
||||
"""
|
||||
Seedance 视频生成节点
|
||||
节点列表:
|
||||
- SeedanceT2V: 文生视频
|
||||
- SeedanceI2V: 图生视频（首帧驱动）
|
||||
- SeedanceFlipFlop: 首尾帧生视频
|
||||
- Seedance: 文生视频 / 图生视频 / 首尾帧生视频（根据图片输入自动切换模式）
|
||||
"""
|
||||
|
||||
import io
|
||||
import os
|
||||
import re
|
||||
|
||||
import aiohttp
|
||||
import torch
|
||||
|
||||
from ..clients.seedance_client import SeedanceClient
|
||||
from ..clients.gemini_client import GeminiAPIClient
|
||||
from ..utils.image_utils import tensor_to_pil, encode_image_to_base64
|
||||
from ..utils.image_utils import tensor_to_pil, encode_image_to_base64, pil_to_tensor
|
||||
|
||||
from comfy_api.latest import InputImpl
|
||||
|
||||
@@ -24,53 +26,19 @@ except ImportError:
|
||||
|
||||
# ── 模型列表 ──────────────────────────────────────────────────────────────────
|
||||
|
||||
_T2V_MODELS = [
|
||||
_MODELS = [
|
||||
"doubao-seedance-2-0-260128",
|
||||
"doubao-seedance-2-0-fast-260128",
|
||||
"doubao-seedance-1-5-pro-251215",
|
||||
"doubao-seedance-1-0-pro-250528",
|
||||
"doubao-seedance-1-0-lite-t2v",
|
||||
]
|
||||
|
||||
_I2V_MODELS = [
|
||||
"doubao-seedance-2-0-260128",
|
||||
"doubao-seedance-2-0-fast-260128",
|
||||
"doubao-seedance-1-5-pro-251215",
|
||||
"doubao-seedance-1-0-pro-250528",
|
||||
"doubao-seedance-1-0-lite-i2v",
|
||||
]
|
||||
|
||||
_FLIPFLOP_MODELS = [
|
||||
"doubao-seedance-2-0-260128",
|
||||
"doubao-seedance-2-0-fast-260128",
|
||||
"doubao-seedance-1-5-pro-251215",
|
||||
"doubao-seedance-1-0-pro-250528",
|
||||
]
|
||||
_RESOLUTIONS = ["720p", "480p"]
|
||||
|
||||
|
||||
# ── 模型能力判断 ──────────────────────────────────────────────────────────────
|
||||
|
||||
def _is_v2(model: str) -> bool:
|
||||
return "seedance-2-0" in model
|
||||
|
||||
def _is_v15_pro(model: str) -> bool:
|
||||
return "seedance-1-5-pro" in model
|
||||
|
||||
def _supports_audio(model: str) -> bool:
|
||||
"""2.0、2.0-fast、1.5-pro 支持生成音频"""
|
||||
return _is_v2(model) or _is_v15_pro(model)
|
||||
|
||||
def _supports_auto_duration(model: str) -> bool:
|
||||
"""2.0 和 1.5-pro 支持自动时长（duration 不传或传 -1）"""
|
||||
return _is_v2(model) or _is_v15_pro(model)
|
||||
|
||||
def _supports_camera_fixed(model: str) -> bool:
|
||||
"""仅非 2.0 模型支持固定镜头（2.0 已不支持）"""
|
||||
return not _is_v2(model)
|
||||
|
||||
def _supports_web_search(model: str) -> bool:
|
||||
"""仅 2.0 系列支持联网搜索"""
|
||||
return _is_v2(model)
|
||||
"""2.0 系列不支持固定镜头"""
|
||||
return False # 当前仅 2.0 模型，均不支持
|
||||
|
||||
|
||||
# ── 工具函数 ──────────────────────────────────────────────────────────────────
|
||||
@@ -105,6 +73,22 @@ def _tensor_to_base64_url(tensor) -> str:
|
||||
return f"data:image/png;base64,{b64}"
|
||||
|
||||
|
||||
async def _url_to_tensor(url: str) -> torch.Tensor:
|
||||
"""从 URL 下载图片并转为 ComfyUI IMAGE tensor，失败时返回 None"""
|
||||
try:
|
||||
from PIL import Image
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url, allow_redirects=True) as resp:
|
||||
if resp.status != 200:
|
||||
return None
|
||||
data = await resp.read()
|
||||
img = Image.open(io.BytesIO(data)).convert("RGB")
|
||||
return pil_to_tensor([img])
|
||||
except Exception as e:
|
||||
print(f"[Seedance] 末帧图片下载失败: {e}")
|
||||
return None
|
||||
|
||||
|
||||
def _show_balance():
|
||||
"""完成后打印余额（静默失败）"""
|
||||
try:
|
||||
@@ -124,7 +108,6 @@ def _make_pbar():
|
||||
|
||||
|
||||
def _make_callbacks(tag: str, pbar):
|
||||
"""生成通用的 on_stage / on_progress 回调"""
|
||||
def on_stage(stage: str):
|
||||
if stage == "submitting":
|
||||
print(f"[{tag}] 提交中...")
|
||||
@@ -145,310 +128,160 @@ def _make_callbacks(tag: str, pbar):
|
||||
return on_stage, on_progress
|
||||
|
||||
|
||||
# ── 节点 1：文生视频 ─────────────────────────────────────────────────────────
|
||||
# ── 统一节点 ─────────────────────────────────────────────────────────────────
|
||||
#
|
||||
# 模式由图片输入自动判断：
|
||||
# 首帧 = None → T2V 文生视频 （联网搜索生效）
|
||||
# 首帧 = 图片，尾帧 = None → I2V 图生视频 （固定镜头生效，当前 2.0 不支持故忽略）
|
||||
# 首帧 = 图片，尾帧 = 图片 → FlipFlop 首尾帧（联网搜索/固定镜头均忽略）
|
||||
|
||||
class SeedanceT2V:
|
||||
"""Seedance 文生视频"""
|
||||
class Seedance:
|
||||
"""Seedance 视频生成（文生视频 / 图生视频 / 首尾帧，自动判断模式）"""
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {
|
||||
"提示词": ("STRING", {"multiline": True, "default": ""}),
|
||||
"模型": (_T2V_MODELS, {"default": "doubao-seedance-2-0-260128"}),
|
||||
"分辨率": (["720p", "1080p", "480p"], {"default": "720p"}),
|
||||
"模型": (_MODELS, {"default": "doubao-seedance-2-0-260128"}),
|
||||
"分辨率": (_RESOLUTIONS, {"default": "720p"}),
|
||||
"宽高比": (["16:9", "adaptive", "9:16", "1:1", "4:3", "3:4", "21:9"],
|
||||
{"default": "16:9"}),
|
||||
"时长秒(-1=自动)": ("INT", {"default": 5, "min": -1, "max": 30, "step": 1}),
|
||||
"生成音频": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"水印": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"返回末帧图片": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"联网搜索": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"服务等级": (["default", "flex"], {"default": "default"}),
|
||||
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffff}),
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("VIDEO",)
|
||||
RETURN_NAMES = ("视频",)
|
||||
FUNCTION = "generate"
|
||||
CATEGORY = "comfyui_o1key/Seedance"
|
||||
|
||||
async def generate(self, **kwargs):
|
||||
prompt = kwargs["提示词"].strip()
|
||||
model = kwargs["模型"]
|
||||
resolution = kwargs["分辨率"]
|
||||
ratio = kwargs["宽高比"]
|
||||
duration = kwargs["时长秒(-1=自动)"]
|
||||
gen_audio = kwargs["生成音频"] == "打开"
|
||||
watermark = kwargs["水印"] == "打开"
|
||||
return_last = kwargs["返回末帧图片"] == "打开"
|
||||
web_search = kwargs["联网搜索"] == "打开"
|
||||
service_tier = kwargs["服务等级"]
|
||||
seed = kwargs.get("seed", 0)
|
||||
|
||||
if not prompt:
|
||||
raise ValueError("提示词不能为空。")
|
||||
if duration == -1 and not _supports_auto_duration(model):
|
||||
raise ValueError(f"模型 {model} 不支持自动时长（-1），请改用 2.0 或 1.5-pro 模型。")
|
||||
|
||||
metadata: dict = {
|
||||
"resolution": resolution,
|
||||
"watermark": watermark,
|
||||
}
|
||||
if ratio != "adaptive":
|
||||
metadata["ratio"] = ratio
|
||||
if duration != -1:
|
||||
metadata["duration"] = duration
|
||||
if gen_audio and _supports_audio(model):
|
||||
metadata["generate_audio"] = True
|
||||
if return_last:
|
||||
metadata["return_last_frame"] = True
|
||||
if web_search and _supports_web_search(model):
|
||||
metadata["tools"] = [{"type": "web_search"}]
|
||||
if seed != 0:
|
||||
metadata["seed"] = seed
|
||||
|
||||
body = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"metadata": metadata,
|
||||
"service_tier": service_tier,
|
||||
}
|
||||
|
||||
video_dir = _get_video_output_dir()
|
||||
counter = _get_next_counter(video_dir, "seedance_t2v")
|
||||
save_path = os.path.join(video_dir, f"seedance_t2v_{counter:05d}.mp4")
|
||||
|
||||
client = SeedanceClient()
|
||||
pbar = _make_pbar()
|
||||
on_stage, on_prog = _make_callbacks("Seedance文生视频", pbar)
|
||||
|
||||
try:
|
||||
result_path = await client.generate_async(
|
||||
body=body, save_path=save_path,
|
||||
on_stage=on_stage, on_progress=on_prog,
|
||||
)
|
||||
return (InputImpl.VideoFromFile(result_path),)
|
||||
finally:
|
||||
_show_balance()
|
||||
|
||||
|
||||
# ── 节点 2：图生视频（首帧驱动） ──────────────────────────────────────────────
|
||||
|
||||
class SeedanceI2V:
|
||||
"""Seedance 图生视频（首帧驱动）"""
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {
|
||||
"首帧图片": ("IMAGE",),
|
||||
"提示词": ("STRING", {"multiline": True, "default": ""}),
|
||||
"模型": (_I2V_MODELS, {"default": "doubao-seedance-2-0-260128"}),
|
||||
"分辨率": (["720p", "1080p", "480p"], {"default": "720p"}),
|
||||
"宽高比": (["16:9", "adaptive", "9:16", "1:1", "4:3", "3:4", "21:9"],
|
||||
{"default": "16:9"}),
|
||||
"时长秒(-1=自动)": ("INT", {"default": 5, "min": -1, "max": 30, "step": 1}),
|
||||
"生成音频": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"水印": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"固定镜头": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"返回末帧图片": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"服务等级": (["default", "flex"], {"default": "default"}),
|
||||
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffff}),
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("VIDEO",)
|
||||
RETURN_NAMES = ("视频",)
|
||||
FUNCTION = "generate"
|
||||
CATEGORY = "comfyui_o1key/Seedance"
|
||||
|
||||
async def generate(self, **kwargs):
|
||||
image = kwargs["首帧图片"]
|
||||
prompt = kwargs["提示词"].strip()
|
||||
model = kwargs["模型"]
|
||||
resolution = kwargs["分辨率"]
|
||||
ratio = kwargs["宽高比"]
|
||||
duration = kwargs["时长秒(-1=自动)"]
|
||||
gen_audio = kwargs["生成音频"] == "打开"
|
||||
watermark = kwargs["水印"] == "打开"
|
||||
cam_fixed = kwargs["固定镜头"] == "打开"
|
||||
return_last = kwargs["返回末帧图片"] == "打开"
|
||||
service_tier = kwargs["服务等级"]
|
||||
seed = kwargs.get("seed", 0)
|
||||
|
||||
if not prompt:
|
||||
raise ValueError("提示词不能为空。")
|
||||
if duration == -1 and not _supports_auto_duration(model):
|
||||
raise ValueError(f"模型 {model} 不支持自动时长（-1），请改用 2.0 或 1.5-pro 模型。")
|
||||
|
||||
image_url = _tensor_to_base64_url(image)
|
||||
|
||||
# 使用 metadata.content 携带带 role 的图片（会覆盖 new-api 从 images 字段构建的 content）
|
||||
content = [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": image_url},
|
||||
"role": "first_frame",
|
||||
},
|
||||
{
|
||||
"type": "text",
|
||||
"text": prompt,
|
||||
},
|
||||
]
|
||||
|
||||
metadata: dict = {
|
||||
"resolution": resolution,
|
||||
"watermark": watermark,
|
||||
"content": content,
|
||||
}
|
||||
if ratio != "adaptive":
|
||||
metadata["ratio"] = ratio
|
||||
if duration != -1:
|
||||
metadata["duration"] = duration
|
||||
if gen_audio and _supports_audio(model):
|
||||
metadata["generate_audio"] = True
|
||||
if cam_fixed and _supports_camera_fixed(model):
|
||||
metadata["camera_fixed"] = True
|
||||
if return_last:
|
||||
metadata["return_last_frame"] = True
|
||||
if seed != 0:
|
||||
metadata["seed"] = seed
|
||||
|
||||
body = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"images": [image_url], # 供 new-api HasImage() 识别，触发正确计费路径
|
||||
"metadata": metadata,
|
||||
"service_tier": service_tier,
|
||||
}
|
||||
|
||||
video_dir = _get_video_output_dir()
|
||||
counter = _get_next_counter(video_dir, "seedance_i2v")
|
||||
save_path = os.path.join(video_dir, f"seedance_i2v_{counter:05d}.mp4")
|
||||
|
||||
client = SeedanceClient()
|
||||
pbar = _make_pbar()
|
||||
on_stage, on_prog = _make_callbacks("Seedance图生视频", pbar)
|
||||
|
||||
try:
|
||||
result_path = await client.generate_async(
|
||||
body=body, save_path=save_path,
|
||||
on_stage=on_stage, on_progress=on_prog,
|
||||
)
|
||||
return (InputImpl.VideoFromFile(result_path),)
|
||||
finally:
|
||||
_show_balance()
|
||||
|
||||
|
||||
# ── 节点 3：首尾帧生视频 ─────────────────────────────────────────────────────
|
||||
|
||||
class SeedanceFlipFlop:
|
||||
"""Seedance 首尾帧生视频（同时指定起始帧与结束帧）"""
|
||||
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {
|
||||
"optional": {
|
||||
"首帧图片": ("IMAGE",),
|
||||
"尾帧图片": ("IMAGE",),
|
||||
"提示词": ("STRING", {"multiline": True, "default": ""}),
|
||||
"模型": (_FLIPFLOP_MODELS, {"default": "doubao-seedance-2-0-260128"}),
|
||||
"分辨率": (["720p", "1080p", "480p"], {"default": "720p"}),
|
||||
"宽高比": (["16:9", "adaptive", "9:16", "1:1", "4:3", "3:4", "21:9"],
|
||||
{"default": "16:9"}),
|
||||
"时长秒(-1=自动)": ("INT", {"default": 5, "min": -1, "max": 30, "step": 1}),
|
||||
"生成音频": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"水印": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"返回末帧图片": (["关闭", "打开"], {"default": "关闭"}),
|
||||
"服务等级": (["default", "flex"], {"default": "default"}),
|
||||
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffff}),
|
||||
}
|
||||
},
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("VIDEO",)
|
||||
RETURN_NAMES = ("视频",)
|
||||
RETURN_TYPES = ("VIDEO", "IMAGE")
|
||||
RETURN_NAMES = ("视频", "末帧图片")
|
||||
FUNCTION = "generate"
|
||||
CATEGORY = "comfyui_o1key/Seedance"
|
||||
|
||||
async def generate(self, **kwargs):
|
||||
first_image = kwargs["首帧图片"]
|
||||
last_image = kwargs["尾帧图片"]
|
||||
prompt = kwargs["提示词"].strip()
|
||||
model = kwargs["模型"]
|
||||
resolution = kwargs["分辨率"]
|
||||
ratio = kwargs["宽高比"]
|
||||
duration = kwargs["时长秒(-1=自动)"]
|
||||
gen_audio = kwargs["生成音频"] == "打开"
|
||||
watermark = kwargs["水印"] == "打开"
|
||||
return_last = kwargs["返回末帧图片"] == "打开"
|
||||
service_tier = kwargs["服务等级"]
|
||||
seed = kwargs.get("seed", 0)
|
||||
prompt = kwargs["提示词"].strip()
|
||||
model = kwargs["模型"]
|
||||
resolution = kwargs["分辨率"]
|
||||
ratio = kwargs["宽高比"]
|
||||
duration = kwargs["时长秒(-1=自动)"]
|
||||
gen_audio = kwargs["生成音频"] == "打开"
|
||||
web_search = kwargs["联网搜索"] == "打开"
|
||||
return_last = kwargs["返回末帧图片"] == "打开"
|
||||
seed = kwargs.get("seed", 0)
|
||||
first_image = kwargs.get("首帧图片", None)
|
||||
last_image = kwargs.get("尾帧图片", None)
|
||||
|
||||
# 模式判断
|
||||
if first_image is None and last_image is not None:
|
||||
raise ValueError("请同时接入首帧图片，或仅接入首帧图片。")
|
||||
if first_image is None:
|
||||
mode = "t2v"
|
||||
tag = "Seedance文生视频"
|
||||
file_prefix = "seedance_t2v"
|
||||
elif last_image is None:
|
||||
mode = "i2v"
|
||||
tag = "Seedance图生视频"
|
||||
file_prefix = "seedance_i2v"
|
||||
else:
|
||||
mode = "flipflop"
|
||||
tag = "Seedance首尾帧"
|
||||
file_prefix = "seedance_flip"
|
||||
|
||||
if not prompt:
|
||||
raise ValueError("提示词不能为空。")
|
||||
if duration == -1 and not _supports_auto_duration(model):
|
||||
raise ValueError(f"模型 {model} 不支持自动时长（-1），请改用 2.0 或 1.5-pro 模型。")
|
||||
|
||||
first_url = _tensor_to_base64_url(first_image)
|
||||
last_url = _tensor_to_base64_url(last_image)
|
||||
|
||||
content = [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": first_url},
|
||||
"role": "first_frame",
|
||||
},
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": last_url},
|
||||
"role": "last_frame",
|
||||
},
|
||||
{
|
||||
"type": "text",
|
||||
"text": prompt,
|
||||
},
|
||||
]
|
||||
if duration == -1 and mode == "t2v":
|
||||
pass # 2.0 均支持自动时长
|
||||
elif duration == -1 and mode != "t2v":
|
||||
pass # 2.0 均支持自动时长
|
||||
|
||||
metadata: dict = {
|
||||
"resolution": resolution,
|
||||
"watermark": watermark,
|
||||
"content": content,
|
||||
"watermark": False,
|
||||
}
|
||||
if ratio != "adaptive":
|
||||
metadata["ratio"] = ratio
|
||||
if duration != -1:
|
||||
metadata["duration"] = duration
|
||||
if gen_audio and _supports_audio(model):
|
||||
if gen_audio:
|
||||
metadata["generate_audio"] = True
|
||||
if return_last:
|
||||
metadata["return_last_frame"] = True
|
||||
if seed != 0:
|
||||
metadata["seed"] = seed
|
||||
|
||||
body = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"images": [first_url], # 供 new-api HasImage() 识别
|
||||
"metadata": metadata,
|
||||
"service_tier": service_tier,
|
||||
}
|
||||
# 模式专属参数
|
||||
if mode == "t2v":
|
||||
if web_search:
|
||||
metadata["tools"] = [{"type": "web_search"}]
|
||||
body = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"metadata": metadata,
|
||||
}
|
||||
|
||||
elif mode == "i2v":
|
||||
first_url = _tensor_to_base64_url(first_image)
|
||||
metadata["content"] = [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": first_url},
|
||||
"role": "first_frame",
|
||||
},
|
||||
{"type": "text", "text": prompt},
|
||||
]
|
||||
body = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"images": [first_url],
|
||||
"metadata": metadata,
|
||||
}
|
||||
|
||||
else: # flipflop
|
||||
first_url = _tensor_to_base64_url(first_image)
|
||||
last_url = _tensor_to_base64_url(last_image)
|
||||
metadata["content"] = [
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": first_url},
|
||||
"role": "first_frame",
|
||||
},
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {"url": last_url},
|
||||
"role": "last_frame",
|
||||
},
|
||||
{"type": "text", "text": prompt},
|
||||
]
|
||||
body = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"images": [first_url],
|
||||
"metadata": metadata,
|
||||
}
|
||||
|
||||
video_dir = _get_video_output_dir()
|
||||
counter = _get_next_counter(video_dir, "seedance_flip")
|
||||
save_path = os.path.join(video_dir, f"seedance_flip_{counter:05d}.mp4")
|
||||
counter = _get_next_counter(video_dir, file_prefix)
|
||||
save_path = os.path.join(video_dir, f"{file_prefix}_{counter:05d}.mp4")
|
||||
|
||||
client = SeedanceClient()
|
||||
pbar = _make_pbar()
|
||||
on_stage, on_prog = _make_callbacks("Seedance首尾帧", pbar)
|
||||
client = SeedanceClient()
|
||||
pbar = _make_pbar()
|
||||
on_stage, on_prog = _make_callbacks(tag, pbar)
|
||||
|
||||
try:
|
||||
result_path = await client.generate_async(
|
||||
result_path, last_frame_url = await client.generate_async(
|
||||
body=body, save_path=save_path,
|
||||
on_stage=on_stage, on_progress=on_prog,
|
||||
)
|
||||
return (InputImpl.VideoFromFile(result_path),)
|
||||
last_frame_tensor = None
|
||||
if return_last and last_frame_url:
|
||||
last_frame_tensor = await _url_to_tensor(last_frame_url)
|
||||
return (InputImpl.VideoFromFile(result_path), last_frame_tensor)
|
||||
finally:
|
||||
_show_balance()
|
||||
|
||||
@@ -456,13 +289,9 @@ class SeedanceFlipFlop:
|
||||
# ── 节点注册 ──────────────────────────────────────────────────────────────────
|
||||
|
||||
NODE_CLASS_MAPPINGS = {
|
||||
"SeedanceT2V": SeedanceT2V,
|
||||
"SeedanceI2V": SeedanceI2V,
|
||||
"SeedanceFlipFlop": SeedanceFlipFlop,
|
||||
"Seedance": Seedance,
|
||||
}
|
||||
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"SeedanceT2V": "Seedance 文生视频",
|
||||
"SeedanceI2V": "Seedance 图生视频",
|
||||
"SeedanceFlipFlop": "Seedance 首尾帧生视频",
|
||||
"Seedance": "Seedance 视频生成",
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user