chore 🧹: add deprecations and experimental
This commit is contained in:
committed by
Mel Massadian
parent
e099d581a7
commit
caf0b39d8a
@@ -78,6 +78,7 @@ class MTB_LoadFaceEnhanceModel:
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RETURN_NAMES = ("model",)
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FUNCTION = "load_model"
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CATEGORY = "mtb/facetools"
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DEPRECATED = True
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def load_model(self, model_name, upscale=2, bg_upsampler=None):
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from gfpgan import GFPGANer
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@@ -163,6 +164,7 @@ class MTB_RestoreFace:
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "restore"
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CATEGORY = "mtb/facetools"
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DEPRECATED = True
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@classmethod
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def INPUT_TYPES(cls):
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@@ -40,6 +40,7 @@ class MTB_LoadFaceAnalysisModel:
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RETURN_TYPES = ("FACE_ANALYSIS_MODEL",)
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FUNCTION = "load_model"
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CATEGORY = "mtb/facetools"
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DEPRECATED = True
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def load_model(self, faceswap_model: str):
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if faceswap_model == "antelopev2":
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@@ -77,6 +78,7 @@ class MTB_LoadFaceSwapModel:
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RETURN_TYPES = ("FACESWAP_MODEL",)
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FUNCTION = "load_model"
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CATEGORY = "mtb/facetools"
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DEPRECATED = True
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def load_model(self, faceswap_model: str):
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model_path = get_model_path("insightface", faceswap_model)
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@@ -126,6 +128,7 @@ class MTB_FaceSwap:
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "swap"
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CATEGORY = "mtb/facetools"
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DEPRECATED = True
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def swap(
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self,
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@@ -1,5 +1,4 @@
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from pathlib import Path
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from typing import List
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import comfy
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import comfy.model_management as model_management
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@@ -15,10 +14,13 @@ from ..utils import get_model_path
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class MTB_LoadFilmModel:
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"""Loads a FILM model"""
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"""Loads a FILM model
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[DEPRECATED] Use ComfyUI-FrameInterpolation instead
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"""
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@staticmethod
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def get_models() -> List[Path]:
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def get_models() -> list[Path]:
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models_paths = get_model_path("FILM").iterdir()
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return [x for x in models_paths if x.suffix in [".onnx", ".pth"]]
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@@ -37,6 +39,7 @@ class MTB_LoadFilmModel:
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RETURN_TYPES = ("FILM_MODEL",)
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FUNCTION = "load_model"
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CATEGORY = "mtb/frame iterpolation"
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DEPRECATED = True
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def load_model(self, film_model: str):
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model_path = get_model_path("FILM", film_model)
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@@ -56,7 +59,10 @@ class MTB_LoadFilmModel:
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class MTB_FilmInterpolation:
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"""Google Research FILM frame interpolation for large motion"""
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"""Google Research FILM frame interpolation for large motion
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[DEPRECATED] Use ComfyUI-FrameInterpolation instead
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"""
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@classmethod
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def INPUT_TYPES(cls):
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@@ -71,6 +77,7 @@ class MTB_FilmInterpolation:
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "do_interpolation"
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CATEGORY = "mtb/frame iterpolation"
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DEPRECATED = True
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def do_interpolation(
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self,
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+55
-19
@@ -2,9 +2,9 @@ import json
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import subprocess
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import uuid
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from pathlib import Path
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from typing import List, Optional
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import comfy.model_management as model_management
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import comfy.utils
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import folder_paths
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import numpy as np
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import torch
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@@ -41,6 +41,7 @@ class MTB_ReadPlaylist:
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RETURN_TYPES = ("PLAYLIST",)
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FUNCTION = "read_playlist"
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CATEGORY = "mtb/IO"
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EXPERIMENTAL = True
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def read_playlist(
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self,
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@@ -83,6 +84,7 @@ class MTB_AddToPlaylist:
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OUTPUT_NODE = True
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FUNCTION = "add_to_playlist"
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CATEGORY = "mtb/IO"
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EXPERIMENTAL = True
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def add_to_playlist(
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self,
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@@ -117,7 +119,10 @@ class MTB_AddToPlaylist:
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class MTB_ExportWithFfmpeg:
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"""Export with FFmpeg (Experimental)"""
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"""Export with FFmpeg (Experimental).
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[DEPRACATED] Use VHS nodes instead
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"""
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@classmethod
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def INPUT_TYPES(cls):
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@@ -143,6 +148,7 @@ class MTB_ExportWithFfmpeg:
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RETURN_TYPES = ("VIDEO",)
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OUTPUT_NODE = True
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FUNCTION = "export_prores"
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DEPRECATED = True
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CATEGORY = "mtb/IO"
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def export_prores(
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@@ -151,10 +157,9 @@ class MTB_ExportWithFfmpeg:
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prefix: str,
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format: str,
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codec: str,
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images: Optional[torch.Tensor] = None,
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playlist: Optional[List[str]] = None,
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images: torch.Tensor | None = None,
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playlist: list[str] | None = None,
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):
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pix_fmt = "rgb48le" if codec == "prores_ks" else "yuv420p"
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file_ext = format
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file_id = f"{prefix}_{uuid.uuid4()}.{file_ext}"
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@@ -208,9 +213,11 @@ class MTB_ExportWithFfmpeg:
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frames = tensor2np(images)
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log.debug(f"Frames type {type(frames[0])}")
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log.debug(f"Exporting {len(frames)} frames")
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height, width, channels = frames[0].shape
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has_alpha = channels == 4
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out_path = (output_dir / file_id).as_posix()
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if codec == "gif":
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out_path = (output_dir / file_id).as_posix()
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command = [
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"ffmpeg",
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"-f",
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@@ -233,12 +240,28 @@ class MTB_ExportWithFfmpeg:
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process.stdin.close()
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process.wait()
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return (out_path,)
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else:
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frames = [frame.astype(np.uint16) * 257 for frame in frames]
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height, width, _ = frames[0].shape
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out_path = (output_dir / file_id).as_posix()
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if has_alpha:
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if codec in ["prores_ks", "libx264", "libx265"]:
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pix_fmt = (
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"yuva444p" if codec == "prores_ks" else "yuva420p"
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)
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frames = [
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frame.astype(np.uint16) * 257 for frame in frames
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]
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else:
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log.warning(
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f"Alpha channel not supported for codec {codec}. Alpha will be ignored."
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)
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frames = [
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frame[:, :, :3].astype(np.uint16) * 257
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for frame in frames
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]
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pix_fmt = "rgb48le" if codec == "prores_ks" else "yuv420p"
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else:
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pix_fmt = "rgb48le" if codec == "prores_ks" else "yuv420p"
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frames = [frame.astype(np.uint16) * 257 for frame in frames]
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# Prepare the FFmpeg command
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command = [
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@@ -258,17 +281,26 @@ class MTB_ExportWithFfmpeg:
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"-",
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"-c:v",
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codec,
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"-r",
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str(fps),
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"-y",
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out_path,
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]
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if codec == "prores_ks":
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command.extend(["-profile:v", "4444"])
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command.extend(
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[
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"-r",
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str(fps),
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"-y",
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out_path,
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]
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)
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process = subprocess.Popen(command, stdin=subprocess.PIPE)
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pbar = comfy.utils.ProgressBar(len(frames))
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for frame in frames:
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model_management.throw_exception_if_processing_interrupted()
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process.stdin.write(frame.tobytes())
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pbar.update(1)
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process.stdin.close()
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process.wait()
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@@ -280,9 +312,9 @@ def prepare_animated_batch(
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batch: torch.Tensor,
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pingpong=False,
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resize_by=1.0,
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resample_filter: Optional[Image.Resampling] = None,
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resample_filter: Image.Resampling | None = None,
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image_type=np.uint8,
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) -> List[Image.Image]:
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) -> list[Image.Image]:
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images = tensor2np(batch)
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images = [frame.astype(image_type) for frame in images]
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@@ -308,7 +340,10 @@ def prepare_animated_batch(
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# todo: deprecate for apng
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class MTB_SaveGif:
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"""Save the images from the batch as a GIF"""
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"""Save the images from the batch as a GIF.
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[DEPRACATED] Use VHS nodes instead
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"""
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@classmethod
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def INPUT_TYPES(cls):
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@@ -328,6 +363,7 @@ class MTB_SaveGif:
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OUTPUT_NODE = True
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CATEGORY = "mtb/IO"
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FUNCTION = "save_gif"
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DEPRECATED = True
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def save_gif(
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self,
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