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import base64
import datetime
from pathlib import Path
import traceback
import imageio.v3 as imageio
import numpy as np
from PIL import Image, PngImagePlugin
import PIL.features
import piexif
from modules import images, shared
from modules.processing import Processed, StableDiffusionProcessing
from scripts.animatediff_logger import logger_animatediff as logger
from scripts.animatediff_ui import AnimateDiffProcess
class AnimateDiffOutput:
def output(self, p: StableDiffusionProcessing, res: Processed, params: AnimateDiffProcess):
video_paths = []
first_frames = []
from_xyz = any("xyz_grid" in frame.filename for frame in traceback.extract_stack())
logger.info(f"Saving output formats: {', '.join(params.format)}")
date = datetime.datetime.now().strftime('%Y-%m-%d')
output_dir = Path(f"{p.outpath_samples}/AnimateDiff/{date}")
output_dir.mkdir(parents=True, exist_ok=True)
step = params.video_length if params.video_length > params.batch_size else params.batch_size
for i in range(res.index_of_first_image, len(res.images), step):
# frame interpolation replaces video_list with interpolated frames
# so make a copy instead of a slice (reference), to avoid modifying res
frame_list = [image.copy() for image in res.images[i : i + params.video_length]]
if from_xyz:
first_frames.append(res.images[i].copy())
seq = images.get_next_sequence_number(output_dir, "")
filename_suffix = f"-{params.request_id}" if params.request_id else ""
filename = f"{seq:05}-{res.all_seeds[(i-res.index_of_first_image)]}{filename_suffix}"
video_path_prefix = output_dir / filename
frame_list = self._add_reverse(params, frame_list)
frame_list = self._interp(p, params, frame_list, filename)
video_paths += self._save(params, frame_list, video_path_prefix, res, i)
if len(video_paths) == 0:
return
res.images = video_paths if not p.is_api else (self._encode_video_to_b64(video_paths) + (frame_list if 'Frame' in params.format else []))
# replace results with first frame of each video so xyz grid draws correctly
if from_xyz:
res.images = first_frames
def _add_reverse(self, params: AnimateDiffProcess, frame_list: list):
if params.video_length <= params.batch_size and params.closed_loop in ['A']:
frame_list_reverse = frame_list[::-1]
if len(frame_list_reverse) > 0:
frame_list_reverse.pop(0)
if len(frame_list_reverse) > 0:
frame_list_reverse.pop(-1)
return frame_list + frame_list_reverse
return frame_list
def _interp(
self,
p: StableDiffusionProcessing,
params: AnimateDiffProcess,
frame_list: list,
filename: str
):
if params.interp not in ['FILM']:
return frame_list
try:
from deforum_helpers.frame_interpolation import (
calculate_frames_to_add, check_and_download_film_model)
from film_interpolation.film_inference import run_film_interp_infer
except ImportError:
logger.error("Deforum not found. Please install: https://github.com/deforum-art/deforum-for-automatic1111-webui.git")
return frame_list
import glob
import os
import shutil
import modules.paths as ph
# load film model
deforum_models_path = ph.models_path + '/Deforum'
film_model_folder = os.path.join(deforum_models_path,'film_interpolation')
film_model_name = 'film_net_fp16.pt'
film_model_path = os.path.join(film_model_folder, film_model_name)
check_and_download_film_model('film_net_fp16.pt', film_model_folder)
film_in_between_frames_count = calculate_frames_to_add(len(frame_list), params.interp_x)
# save original frames to tmp folder for deforum input
tmp_folder = f"{p.outpath_samples}/AnimateDiff/tmp"
input_folder = f"{tmp_folder}/input"
os.makedirs(input_folder, exist_ok=True)
for tmp_seq, frame in enumerate(frame_list):
imageio.imwrite(f"{input_folder}/{tmp_seq:05}.png", frame)
# deforum saves output frames to tmp/{filename}
save_folder = f"{tmp_folder}/{filename}"
os.makedirs(save_folder, exist_ok=True)
run_film_interp_infer(
model_path = film_model_path,
input_folder = input_folder,
save_folder = save_folder,
inter_frames = film_in_between_frames_count)
# load deforum output frames and replace video_list
interp_frame_paths = sorted(glob.glob(os.path.join(save_folder, '*.png')))
frame_list = []
for f in interp_frame_paths:
with Image.open(f) as img:
img.load()
frame_list.append(img)
# if saving PNG, enforce saving to custom folder
if "PNG" in params.format:
params.force_save_to_custom = True
# remove tmp folder
try: shutil.rmtree(tmp_folder)
except OSError as e: print(f"Error: {e}")
return frame_list
def _save(
self,
params: AnimateDiffProcess,
frame_list: list,
video_path_prefix: Path,
res: Processed,
index: int,
):
video_paths = []
video_array = [np.array(v) for v in frame_list]
infotext = res.infotexts[index]
s3_enable =shared.opts.data.get("animatediff_s3_enable", False)
use_infotext = shared.opts.enable_pnginfo and infotext is not None
if "PNG" in params.format and (shared.opts.data.get("animatediff_save_to_custom", False) or getattr(params, "force_save_to_custom", False)):
video_path_prefix.mkdir(exist_ok=True, parents=True)
for i, frame in enumerate(frame_list):
png_filename = video_path_prefix/f"{i:05}.png"
png_info = PngImagePlugin.PngInfo()
png_info.add_text('parameters', infotext)
imageio.imwrite(png_filename, frame, pnginfo=png_info)
if "GIF" in params.format:
video_path_gif = str(video_path_prefix) + ".gif"
video_paths.append(video_path_gif)
if shared.opts.data.get("animatediff_optimize_gif_palette", False):
try:
import av
except ImportError:
from launch import run_pip
run_pip(
"install imageio[pyav]",
"sd-webui-animatediff GIF palette optimization requirement: imageio[pyav]",
)
imageio.imwrite(
video_path_gif, video_array, plugin='pyav', fps=params.fps,
codec='gif', out_pixel_format='pal8',
filter_graph=(
{
"split": ("split", ""),
"palgen": ("palettegen", ""),
"paluse": ("paletteuse", ""),
"scale": ("scale", f"{frame_list[0].width}:{frame_list[0].height}")
},
[
("video_in", "scale", 0, 0),
("scale", "split", 0, 0),
("split", "palgen", 1, 0),
("split", "paluse", 0, 0),
("palgen", "paluse", 0, 1),
("paluse", "video_out", 0, 0),
]
)
)
# imageio[pyav].imwrite doesn't support comment parameter
if use_infotext:
try:
import exiftool
except ImportError:
from launch import run_pip
run_pip(
"install PyExifTool",
"sd-webui-animatediff GIF palette optimization requirement: PyExifTool",
)
import exiftool
finally:
try:
exif_tool = exiftool.ExifTool()
with exif_tool:
escaped_infotext = infotext.replace('\n', r'\n')
exif_tool.execute("-overwrite_original", f"-Comment={escaped_infotext}", video_path_gif)
except FileNotFoundError:
logger.warn(
"exiftool not found, required for infotext with optimized GIF palette, try: apt install libimage-exiftool-perl or https://exiftool.org/"
)
else:
imageio.imwrite(
video_path_gif,
video_array,
plugin='pillow',
duration=(1000 / params.fps),
loop=params.loop_number,
comment=(infotext if use_infotext else "")
)
if shared.opts.data.get("animatediff_optimize_gif_gifsicle", False):
self._optimize_gif(video_path_gif)
if "MP4" in params.format:
video_path_mp4 = str(video_path_prefix) + ".mp4"
video_paths.append(video_path_mp4)
try:
import av
except ImportError:
from launch import run_pip
run_pip(
"install imageio[pyav]",
"sd-webui-animatediff MP4 save requirement: imageio[pyav]",
)
import av
options = {
"crf": str(shared.opts.data.get("animatediff_mp4_crf", 23))
}
preset = shared.opts.data.get("animatediff_mp4_preset", "")
if preset != "": options["preset"] = preset
tune = shared.opts.data.get("animatediff_mp4_tune", "")
if tune != "": options["tune"] = tune
output = av.open(video_path_mp4, "w")
logger.info(f"Saving {video_path_mp4}")
if use_infotext:
output.metadata["Comment"] = infotext
stream = output.add_stream('libx264', params.fps, options=options)
stream.width = frame_list[0].width
stream.height = frame_list[0].height
for img in video_array:
frame = av.VideoFrame.from_ndarray(img)
packet = stream.encode(frame)
output.mux(packet)
packet = stream.encode(None)
output.mux(packet)
output.close()
if "TXT" in params.format and res.images[index].info is not None:
video_path_txt = str(video_path_prefix) + ".txt"
with open(video_path_txt, "w", encoding="utf8") as file:
file.write(f"{infotext}\n")
if "WEBP" in params.format:
if PIL.features.check('webp_anim'):
video_path_webp = str(video_path_prefix) + ".webp"
video_paths.append(video_path_webp)
exif_bytes = b''
if use_infotext:
exif_bytes = piexif.dump({
"Exif":{
piexif.ExifIFD.UserComment:piexif.helper.UserComment.dump(infotext, encoding="unicode")
}})
lossless = shared.opts.data.get("animatediff_webp_lossless", False)
quality = shared.opts.data.get("animatediff_webp_quality", 80)
logger.info(f"Saving {video_path_webp} with lossless={lossless} and quality={quality}")
imageio.imwrite(video_path_webp, video_array, plugin='pillow',
duration=int(1 / params.fps * 1000), loop=params.loop_number,
lossless=lossless, quality=quality, exif=exif_bytes
)
# see additional Pillow WebP options at https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#webp
else:
logger.warn("WebP animation in Pillow requires system WebP library v0.5.0 or later")
if "WEBM" in params.format:
video_path_webm = str(video_path_prefix) + ".webm"
video_paths.append(video_path_webm)
logger.info(f"Saving {video_path_webm}")
with imageio.imopen(video_path_webm, "w", plugin="pyav") as file:
if use_infotext:
file.container_metadata["Title"] = infotext
file.container_metadata["Comment"] = infotext
file.write(video_array, codec="vp9", fps=params.fps)
if s3_enable:
for video_path in video_paths: self._save_to_s3_stroge(video_path)
return video_paths
def _optimize_gif(self, video_path: str):
try:
import pygifsicle
except ImportError:
from launch import run_pip
run_pip(
"install pygifsicle",
"sd-webui-animatediff GIF optimization requirement: pygifsicle",
)
import pygifsicle
finally:
try:
pygifsicle.optimize(video_path)
except FileNotFoundError:
logger.warn("gifsicle not found, required for optimized GIFs, try: apt install gifsicle")
def _encode_video_to_b64(self, paths):
videos = []
for v_path in paths:
with open(v_path, "rb") as video_file:
videos.append(base64.b64encode(video_file.read()).decode("utf-8"))
return videos
def _install_requirement_if_absent(self,lib):
import launch
if not launch.is_installed(lib):
launch.run_pip(f"install {lib}", f"animatediff requirement: {lib}")
def _exist_bucket(self,s3_client,bucketname):
try:
s3_client.head_bucket(Bucket=bucketname)
return True
except ClientError as e:
if e.response['Error']['Code'] == '404':
return False
else:
raise
def _save_to_s3_stroge(self ,file_path):
"""
put object to object storge
:type bucketname: string
:param bucketname: will save to this 'bucket' , access_key and secret_key must have permissions to save
:type file : file
:param file : the local file
"""
self._install_requirement_if_absent('boto3')
import boto3
from botocore.exceptions import ClientError
import os
host = shared.opts.data.get("animatediff_s3_host", '127.0.0.1')
port = shared.opts.data.get("animatediff_s3_port", '9001')
access_key = shared.opts.data.get("animatediff_s3_access_key", '')
secret_key = shared.opts.data.get("animatediff_s3_secret_key", '')
bucket = shared.opts.data.get("animatediff_s3_storge_bucket", '')
client = boto3.client(
service_name='s3',
aws_access_key_id = access_key,
aws_secret_access_key = secret_key,
endpoint_url=f'http://{host}:{port}',
)
if not os.path.exists(file_path): return
date = datetime.datetime.now().strftime('%Y-%m-%d')
if not self._exist_bucket(client,bucket):
client.create_bucket(Bucket=bucket)
filename = os.path.split(file_path)[1]
targetpath = f"{date}/{filename}"
client.upload_file(file_path, bucket, targetpath)
logger.info(f"{file_path} saved to s3 in bucket: {bucket}")
return f"http://{host}:{port}/{bucket}/{targetpath}"
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