diff --git a/example1_standard.py b/example1_standard.py
index 99854a3..6856787 100644
--- a/example1_standard.py
+++ b/example1_standard.py
@@ -70,8 +70,6 @@ prompt2 = "photo of an eerie statue surrounded by ferns and vines, analog photog
lb.set_prompt1(prompt1)
lb.set_prompt2(prompt2)
-
-
imgs_transition = lb.run_transition(list_nmb_branches, list_injection_strength, fixed_seeds=fixed_seeds)
# let's get more cheap frames via linear interpolation
diff --git a/latent_blending.py b/latent_blending.py
index adca9b7..c34b599 100644
--- a/latent_blending.py
+++ b/latent_blending.py
@@ -267,6 +267,7 @@ class LatentBlending():
self.tree_fracts = []
self.tree_status = []
self.tree_final_imgs = [None]*list_nmb_branches[-1]
+ self.tree_final_imgs_timing = [0]*list_nmb_branches[-1]
nmb_blocks_time = len(list_injection_idx_ext)-1
for t_block in range(nmb_blocks_time):
@@ -321,6 +322,7 @@ class LatentBlending():
list_compute.extend(list_local_stem[::-1])
# Diffusion computations start here
+ time_start = time.time()
for t_block, idx_branch in tqdm(list_compute, desc="computing transition"):
# print(f"computing t_block {t_block} idx_branch {idx_branch}")
idx_stop = list_injection_idx_ext[t_block+1]
@@ -352,6 +354,7 @@ class LatentBlending():
# Convert latents to image directly for the last t_block
if t_block == nmb_blocks_time-1:
self.tree_final_imgs[idx_branch] = self.latent2image(list_latents[-1])
+ self.tree_final_imgs_timing[idx_branch] = time.time() - time_start
return self.tree_final_imgs
@@ -931,6 +934,24 @@ def get_time(resolution=None):
#%% le main
if __name__ == "__main__":
+ #%% TMP SURGERY
+ num_inference_steps = 20 # Number of diffusion interations
+ list_nmb_branches = [2, 3, 10, 24] # Branching structure: how many branches
+ list_injection_strength = [0.0, 0.6, 0.8, 0.9] # Branching structure: how deep is the blending
+ width = 512
+ height = 512
+ guidance_scale = 5
+ fixed_seeds = [993621550, 280335986]
+
+ lb = LatentBlending(pipe, device, height, width, num_inference_steps, guidance_scale)
+ prompt1 = "photo of a beautiful forest covered in white flowers, ambient light, very detailed, magic"
+ prompt2 = "photo of an eerie statue surrounded by ferns and vines, analog photograph kodak portra, mystical ambience, incredible detail"
+ lb.set_prompt1(prompt1)
+ lb.set_prompt2(prompt2)
+
+ imgs_transition = lb.run_transition(list_nmb_branches, list_injection_strength, fixed_seeds=fixed_seeds)
+
+
#%% LOOP
list_prompts = []
list_prompts.append("paiting of a medieval city")
diff --git a/movie_util.py b/movie_util.py
new file mode 100644
index 0000000..08ccf32
--- /dev/null
+++ b/movie_util.py
@@ -0,0 +1,218 @@
+# Copyright 2022 Lunar Ring. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import subprocess
+import os
+import numpy as np
+from tqdm import tqdm
+import cv2
+from typing import Callable, List, Optional, Union
+import ffmpeg # pip install ffmpeg-python. if error with broken pipe: conda update ffmpeg
+
+#%%
+
+class MovieSaver():
+ def __init__(
+ self,
+ fp_out: str,
+ fps: int = 24,
+ crf: int = 24,
+ codec: str = 'libx264',
+ preset: str ='fast',
+ pix_fmt: str = 'yuv420p',
+ silent_ffmpeg: bool = True
+ ):
+ r"""
+ Initializes movie saver class - a human friendly ffmpeg wrapper.
+ After you init the class, you can dump numpy arrays x into moviesaver.write_frame(x).
+ Don't forget toi finalize movie file with moviesaver.finalize().
+ Args:
+ fp_out: str
+ Output file name. If it already exists, it will be deleted.
+ fps: int
+ Frames per second.
+ crf: int
+ ffmpeg doc: the range of the CRF scale is 0–51, where 0 is lossless
+ (for 8 bit only, for 10 bit use -qp 0), 23 is the default, and 51 is worst quality possible.
+ A lower value generally leads to higher quality, and a subjectively sane range is 17–28.
+ Consider 17 or 18 to be visually lossless or nearly so;
+ it should look the same or nearly the same as the input but it isn't technically lossless.
+ The range is exponential, so increasing the CRF value +6 results in
+ roughly half the bitrate / file size, while -6 leads to roughly twice the bitrate.
+ codec: int
+ Number of diffusion steps. Larger values will take more compute time.
+ preset: str
+ Choose between ultrafast, superfast, veryfast, faster, fast, medium, slow, slower, veryslow.
+ ffmpeg doc: A preset is a collection of options that will provide a certain encoding speed
+ to compression ratio. A slower preset will provide better compression
+ (compression is quality per filesize).
+ This means that, for example, if you target a certain file size or constant bit rate,
+ you will achieve better quality with a slower preset. Similarly, for constant quality encoding,
+ you will simply save bitrate by choosing a slower preset.
+ pix_fmt: str
+ Pixel format. Run 'ffmpeg -pix_fmts' in your shell to see all options.
+ silent_ffmpeg: bool
+ Surpress the output from ffmpeg.
+ """
+
+ self.fp_out = fp_out
+ self.fps = fps
+ self.crf = crf
+ self.pix_fmt = pix_fmt
+ self.codec = codec
+ self.preset = preset
+ self.silent_ffmpeg = silent_ffmpeg
+
+ if os.path.isfile(fp_out):
+ os.remove(fp_out)
+
+ self.init_done = False
+ self.nmb_frames = 0
+ self.shape_hw = [-1, -1]
+
+ print(f"MovieSaver initialized. fps={fps} crf={crf} pix_fmt={pix_fmt} codec={codec} preset={preset}")
+
+
+ def initialize(self):
+ args = (
+ ffmpeg
+ .input('pipe:', format='rawvideo', pix_fmt='rgb24', s='{}x{}'.format(self.shape_hw[1], self.shape_hw[0]), framerate=self.fps)
+ .output(self.fp_out, crf=self.crf, pix_fmt=self.pix_fmt, c=self.codec, preset=self.preset)
+ .overwrite_output()
+ .compile()
+ )
+ if self.silent_ffmpeg:
+ self.ffmpg_process = subprocess.Popen(args, stdin=subprocess.PIPE, stderr=subprocess.DEVNULL, stdout=subprocess.DEVNULL)
+ else:
+ self.ffmpg_process = subprocess.Popen(args, stdin=subprocess.PIPE)
+ self.init_done = True
+ print(f"First frame initialization done. Movie shape: {self.shape_hw}")
+
+
+ def write_frame(self, out_frame: np.ndarray):
+ r"""
+ Function to dump a numpy array as frame of a movie.
+ Args:
+ out_frame: np.ndarray
+ Numpy array, in np.uint8 format. Convert with np.astype(x, np.uint8).
+ Dim 0: y
+ Dim 1: x
+ Dim 2: RGB
+ """
+
+ assert out_frame.dtype == np.uint8, "Convert to np.uint8 before"
+ assert len(out_frame.shape) == 3, "out_frame needs to be three dimensional, Y X C"
+ assert out_frame.shape[2] == 3, f"need three color channels, but you provided {out_frame.shape[2]}."
+
+ if not self.init_done:
+ self.shape_hw = out_frame.shape
+ self.initialize()
+
+ assert self.shape_hw == out_frame.shape, "You cannot change the image size after init. Initialized with {self.shape_hw}, out_frame {out_frame.shape}"
+
+ # write frame
+ self.ffmpg_process.stdin.write(
+ out_frame
+ .astype(np.uint8)
+ .tobytes()
+ )
+
+ self.nmb_frames += 1
+
+
+ def finalize(self):
+ r"""
+ Call this function to finalize the movie. If you forget to call it your movie will be garbage.
+ """
+ self.ffmpg_process.stdin.close()
+ self.ffmpg_process.wait()
+ duration = int(self.nmb_frames / self.fps)
+ print(f"Movie saved, {duration}s playtime, watch her: {self.fp_out}")
+
+
+
+def concatenate_movies(fp_final: str, list_fp_movies: List[str]):
+ r"""
+ Concatenate multiple movie segments into one long movie, using ffmpeg.
+
+ Parameters
+ ----------
+ fp_final : str
+ Full path of the final movie file. Should end with .mp4
+ list_fp_movies : list[str]
+ List of full paths of movie segments.
+ """
+ assert fp_final.endswith(".mp4"), "fp_final should end with .mp4"
+ for fp in list_fp_movies:
+ assert os.path.isfile(fp), f"Input movie does not exist: {fp}"
+ assert os.path.getsize(fp) > 100, f"Input movie seems empty: {fp}"
+
+ if os.path.isfile(fp_final):
+ os.remove(fp_final)
+
+ # make a list for ffmpeg
+ list_concat = []
+ for fp_part in list_fp_movies:
+ list_concat.append(f"""file '{fp_part}'""")
+
+ # save this list
+ fp_list = fp_final[:-3] + "txt"
+ with open(fp_list, "w") as fa:
+ for item in list_concat:
+ fa.write("%s\n" % item)
+
+ dp_movie = os.path.split(fp_final)[0]
+ cmd = f'ffmpeg -f concat -safe 0 -i {fp_list} -c copy {fp_final}'
+ subprocess.call(cmd, shell=True, cwd=dp_movie)
+ os.remove(fp_list)
+ print(f"concatenate_movies: success! Watch here: {fp_final}")
+
+
+class MovieReader():
+ r"""
+ Class to read in a movie.
+ """
+ def __init__(self, fp_movie):
+ self.video_player_object = cv2.VideoCapture(fp_movie)
+ self.nmb_frames = int(self.video_player_object.get(cv2.CAP_PROP_FRAME_COUNT))
+ self.fps_movie = int(self.video_player_object.get(cv2.CAP_PROP_FPS))
+ self.shape = [100,100,3]
+ self.shape_is_set = False
+
+ def get_next_frame(self):
+ success, image = self.video_player_object.read()
+ if success:
+ if not self.shape_is_set:
+ self.shape_is_set = True
+ self.shape = image.shape
+ return image
+ else:
+ return np.zeros(self.shape)
+
+#%%
+if __name__ == "__main__":
+ fps=2
+ list_fp_movies = []
+ for k in range(4):
+ fp_movie = f"/tmp/my_random_movie_{k}.mp4"
+ list_fp_movies.append(fp_movie)
+ ms = MovieSaver(fp_movie, fps=fps)
+ for fn in tqdm(range(30)):
+ img = (np.random.rand(512, 1024, 3)*255).astype(np.uint8)
+ ms.write_frame(img)
+ ms.finalize()
+
+ fp_final = "/tmp/my_concatenated_movie.mp4"
+ concatenate_movies(fp_final, list_fp_movies)
+