diff --git a/gradio_ui.py b/gradio_ui.py
index 29c5635..a56c418 100644
--- a/gradio_ui.py
+++ b/gradio_ui.py
@@ -24,7 +24,7 @@ import torch
from tqdm.auto import tqdm
from PIL import Image
import torch
-from movie_util import MovieSaver
+from movie_util import MovieSaver, concatenate_movies
from typing import Callable, List, Optional, Union
from latent_blending import get_time, yml_save, LatentBlending, add_frames_linear_interp, compare_dicts
from stable_diffusion_holder import StableDiffusionHolder
@@ -33,12 +33,6 @@ import gradio as gr
import copy
-"""
-try this:
- button variant 'primary' for main call-to-action, 'secondary' for a more subdued style
- gr.Column(scale=1, min_width=600):
-
-"""
#%%
@@ -62,17 +56,19 @@ class BlendingFrontend():
self.prompt2 = ""
self.negative_prompt = ""
self.list_settings = []
- self.state_prev = {}
self.state_current = {}
self.showing_current = True
self.branch1_influence = 0.02
- self.imgs_show_last = []
- self.imgs_show_current = []
self.nmb_branches_final = 9
self.nmb_imgs_show = 5 # don't change
self.fps = 30
self.duration = 10
- self.max_size_imgs = 200 # gradio otherwise mega slow
+ self.dict_multi_trans = {}
+ self.dict_multi_trans_include = {}
+ self.multi_trans_currently_shown = []
+ self.list_fp_imgs_current = []
+ self.current_timestamp = None
+ self.nmb_trans_stack = 8
if not self.use_debug:
self.lb.sdh.num_inference_steps = self.num_inference_steps
@@ -82,6 +78,10 @@ class BlendingFrontend():
self.height = 768
self.width = 768
+ # make dummy image
+ self.fp_img_empty = 'empty.jpg'
+ Image.fromarray(np.zeros((self.height, self.width, 3), dtype=np.uint8)).save(self.fp_img_empty, quality=5)
+
def change_depth_strength(self, value):
self.depth_strength = value
print(f"changed depth_strength to {value}")
@@ -127,14 +127,6 @@ class BlendingFrontend():
self.fps = value
print(f"changed fps to {value}")
- def change_prompt1(self, value):
- self.prompt1 = value
- # print(f"changed prompt1 to {value}")
-
- def change_prompt2(self, value):
- self.prompt2 = value
- # print(f"changed prompt2 to {value}")
-
def change_negative_prompt(self, value):
self.negative_prompt = value
@@ -157,30 +149,25 @@ class BlendingFrontend():
return seed
- def run(self):
+ def compute_transition(self, prompt1, prompt2):
+ self.prompt1 = prompt1
+ self.prompt2 = prompt2
print("STARTING DIFFUSION!")
- self.state_prev = self.state_current.copy()
self.state_current = self.get_state_dict()
- # Copy last iteration
- self.imgs_show_last = copy.deepcopy(self.imgs_show_current)
-
if self.use_debug:
list_imgs = [(255*np.random.rand(self.height,self.width,3)).astype(np.uint8) for l in range(5)]
list_imgs = [Image.fromarray(l) for l in list_imgs]
- list_imgs = self.downscale_imgs(list_imgs)
- self.imgs_show_current = copy.deepcopy(list_imgs)
print("DONE! SENDING BACK RESULTS")
return list_imgs
+ # Collect latent blending variables
self.lb.set_width(self.width)
self.lb.set_height(self.height)
-
self.lb.autosetup_branching(
depth_strength = self.depth_strength,
num_inference_steps = self.num_inference_steps,
nmb_branches_final = self.nmb_branches_final,
nmb_mindist = 3)
-
self.lb.set_prompt1(self.prompt1)
self.lb.set_prompt2(self.prompt2)
self.lb.set_negative_prompt(self.negative_prompt)
@@ -189,31 +176,32 @@ class BlendingFrontend():
self.lb.guidance_scale_mid_damper = self.guidance_scale_mid_damper
self.lb.mid_compression_scaler = self.mid_compression_scaler
self.lb.branch1_influence = self.branch1_influence
-
fixed_seeds = [self.seed1, self.seed2]
+
+ # Run Latent Blending
imgs_transition = self.lb.run_transition(fixed_seeds=fixed_seeds)
+ print(f"Latent Blending pass finished. Resulted in {len(imgs_transition)} images")
- print(f"DONE DIFFUSION! Resulted in {len(imgs_transition)} images")
-
+ # Subselect the preview images (hard fixed to self.nmb_imgs_show=5)
assert np.mod((self.nmb_branches_final-self.nmb_imgs_show)/4, 1)==0, 'self.nmb_branches_final illegal value!'
idx_list = np.linspace(0, self.nmb_branches_final-1, self.nmb_imgs_show).astype(np.int32)
list_imgs_preview = []
for j in idx_list:
list_imgs_preview.append(Image.fromarray(imgs_transition[j]))
- # Save as jpgs on disk so we are not sending umcompressed data around
- timestamp = get_time('second')
- list_fp_imgs = []
+ # Save the preview imgs as jpgs on disk so we are not sending umcompressed data around
+ self.current_timestamp = get_time('second')
+ self.list_fp_imgs_current = []
for i in range(len(list_imgs_preview)):
- fp_img = f"img_preview_{i}_{timestamp}.jpg"
+ fp_img = f"img_preview_{i}_{self.current_timestamp}.jpg"
list_imgs_preview[i].save(fp_img)
- list_fp_imgs.append(fp_img)
+ self.list_fp_imgs_current.append(fp_img)
- # Save the movie as well
+ # Insert cheap frames for the movie
imgs_transition_ext = add_frames_linear_interp(imgs_transition, self.duration, self.fps)
# Save as movie
- fp_movie = f"movie_{timestamp}.mp4"
+ fp_movie = self.get_fp_movie(self.current_timestamp)
if os.path.isfile(fp_movie):
os.remove(fp_movie)
ms = MovieSaver(fp_movie, fps=self.fps)
@@ -221,11 +209,49 @@ class BlendingFrontend():
ms.write_frame(img)
ms.finalize()
print("DONE SAVING MOVIE! SENDING BACK...")
- list_return = list_fp_imgs + [fp_movie]
- return list_return
-
-
+ # Assemble Output, updating the preview images and le movie
+ list_return = self.list_fp_imgs_current + [fp_movie]
+ return list_return
+
+ def get_fp_movie(self, timestamp, is_stacked=False):
+ if not is_stacked:
+ return f"movie_{timestamp}.mp4"
+ else:
+ return f"movie_stacked_{timestamp}.mp4"
+
+
+ def stack_forward(self, prompt2, seed2):
+ # Save preview images, prompts and seeds into dictionary for stacking
+ self.dict_multi_trans[self.current_timestamp] = generate_list_output(self.prompt1, self.prompt2, self.seed1, self.seed2, self.list_fp_imgs_current)
+ self.dict_multi_trans_include[self.current_timestamp] = True
+
+ self.lb.swap_forward()
+ list_out = [self.list_fp_imgs_current[-1]]
+ list_out.extend([self.fp_img_empty]*4)
+ list_out.append(prompt2)
+ list_out.append(seed2)
+ list_out.append("")
+ list_out.append(np.random.randint(0, 10000000))
+
+ list_out_multi_tab = self.update_trans_stacks()
+
+ list_out.extend(list_out_multi_tab)
+ # self.nmb_trans_stack = len(self.dict_multi_trans_include)
+ return list_out
+
+ def stack_movie(self):
+ # collect all that are in...
+ list_fp_movies = []
+ for timestamp in self.multi_trans_currently_shown:
+ if timestamp is not None:
+ list_fp_movies.append(self.get_fp_movie(timestamp))
+
+ fp_stacked = self.get_fp_movie(get_time('second'), True)
+ concatenate_movies(fp_stacked, list_fp_movies)
+ return fp_stacked
+
+
def get_state_dict(self):
state_dict = {}
grab_vars = ['prompt1', 'prompt2', 'seed1', 'seed2', 'height', 'width',
@@ -235,17 +261,77 @@ class BlendingFrontend():
for v in grab_vars:
state_dict[v] = getattr(self, v)
return state_dict
+
+
+ def update_trans_stacks(self):
+ print("Updating transition stack...")
+ self.multi_trans_currently_shown = []
+ list_output = []
+ # Figure out which transitions should be shown
+ for timestamp in self.dict_multi_trans_include.keys():
+ if len(self.multi_trans_currently_shown) >= self.nmb_trans_stack:
+ continue
+
+ if self.dict_multi_trans_include[timestamp]:
+ last_timestamp_vals = self.dict_multi_trans[timestamp]
+ list_output.extend(self.dict_multi_trans[timestamp])
+ self.multi_trans_currently_shown.append(timestamp)
+ print(f"including timestamp: {timestamp}")
+
+ # Fill with empty images if below nmb_trans_stack
+ nmb_empty_missing = self.nmb_trans_stack - len(self.multi_trans_currently_shown)
+ for i in range(nmb_empty_missing):
+ list_output.extend([gr.update(visible=False)]*len(last_timestamp_vals))
+ self.multi_trans_currently_shown.append(None)
+
+ return list_output
+
+
+ def remove_trans(self, idx_row):
+ idx_row = int(idx_row)
+ # do removal...
+ if idx_row < len(self.multi_trans_currently_shown):
+ timestamp = self.multi_trans_currently_shown[idx_row]
+ if timestamp in self.dict_multi_trans_include.keys():
+ self.dict_multi_trans_include[timestamp] = False
+ print(f"remove_trans called: {timestamp}")
+ else:
+ print(f"remove_trans called: idx_row too large {idx_row}")
+
+ return self.update_trans_stacks()
+
+def get_img_rand():
+ return (255*np.random.rand(self.height,self.width,3)).astype(np.uint8)
+
+def generate_list_output(
+ prompt1,
+ prompt2,
+ seed1,
+ seed2,
+ list_fp_imgs,
+ ):
+ list_output = []
+ list_output.append(prompt1)
+ list_output.append(prompt2)
+ list_output.append(seed1)
+ list_output.append(seed2)
+ for fp_img in list_fp_imgs:
+ list_output.append(fp_img)
+
+ return list_output
+
+
if __name__ == "__main__":
- fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_768-ema-pruned.ckpt"
- # fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_512-ema-pruned.ckpt"
- # sdh = StableDiffusionHolder(fp_ckpt)
- self = BlendingFrontend(None)
+ # fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_768-ema-pruned.ckpt"
+ fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_512-ema-pruned.ckpt"
+ sdh = StableDiffusionHolder(fp_ckpt)
+
+ self = BlendingFrontend(sdh) # Yes this is possible in python and yes it is an awesome trick
with gr.Blocks() as demo:
-
with gr.Row():
prompt1 = gr.Textbox(label="prompt 1")
prompt2 = gr.Textbox(label="prompt 2")
@@ -265,16 +351,15 @@ if __name__ == "__main__":
depth_strength = gr.Slider(0.01, 0.99, self.depth_strength, step=0.01, label='depth_strength', interactive=True)
duration = gr.Slider(0.1, 30, self.duration, step=0.1, label='video duration', interactive=True)
guidance_scale_mid_damper = gr.Slider(0.01, 2.0, self.guidance_scale_mid_damper, step=0.01, label='guidance_scale_mid_damper', interactive=True)
-
+
with gr.Row():
- b_run = gr.Button('COMPUTE!', variant='primary')
seed1 = gr.Number(42, label="seed 1", interactive=True)
+ b_newseed1 = gr.Button("randomize seed 1", variant='secondary')
seed2 = gr.Number(420, label="seed 2", interactive=True)
-
- with gr.Column():
- b_newseed1 = gr.Button("randomize \nseed 1", variant='secondary')
- b_newseed2 = gr.Button("randomize \nseed 2", variant='secondary')
-
+ b_newseed2 = gr.Button("randomize seed 2", variant='secondary')
+ with gr.Row():
+ b_compute_transition = gr.Button('compute transition', variant='primary')
+
with gr.Row():
img1 = gr.Image(label="1/5")
img2 = gr.Image(label="2/5")
@@ -283,7 +368,7 @@ if __name__ == "__main__":
img5 = gr.Image(label="5/5")
with gr.Row():
- vid = gr.Video()
+ vid_transition = gr.Video()
# Bind the on-change methods
depth_strength.change(fn=self.change_depth_strength, inputs=depth_strength)
@@ -295,8 +380,6 @@ if __name__ == "__main__":
height.change(fn=self.change_height, inputs=height)
width.change(fn=self.change_width, inputs=width)
- prompt1.change(fn=self.change_prompt1, inputs=prompt1)
- prompt2.change(fn=self.change_prompt2, inputs=prompt2)
negative_prompt.change(fn=self.change_negative_prompt, inputs=negative_prompt)
seed1.change(fn=self.change_seed1, inputs=seed1)
seed2.change(fn=self.change_seed2, inputs=seed2)
@@ -305,6 +388,13 @@ if __name__ == "__main__":
b_newseed1.click(self.randomize_seed1, outputs=seed1)
b_newseed2.click(self.randomize_seed2, outputs=seed2)
- b_run.click(self.run, outputs=[img1, img2, img3, img4, img5, vid])
-
+ # b_stackforward.click(self.stack_forward,
+ # inputs=[prompt2, seed2],
+ # outputs=[img1, img2, img3, img4, img5, prompt1, seed1, prompt2])
+ b_compute_transition.click(self.compute_transition,
+ inputs=[prompt1, prompt2],
+ outputs=[img1, img2, img3, img4, img5, vid_transition])
+
+
+
demo.launch(share=self.share, inbrowser=True, inline=False)