multi transition movies
This commit is contained in:
Johannes Stelzer
parent
20a80a5d1f
commit
da1877ce37
88
gradio_ui.py
88
gradio_ui.py
|
|
@ -56,9 +56,7 @@ class BlendingFrontend():
|
|||
self.prompt1 = ""
|
||||
self.prompt2 = ""
|
||||
self.negative_prompt = ""
|
||||
self.list_settings = []
|
||||
self.state_current = {}
|
||||
self.showing_current = True
|
||||
self.branch1_influence = 0.3
|
||||
self.branch1_max_depth_influence = 0.6
|
||||
self.branch1_influence_decay = 0.3
|
||||
|
|
@ -70,12 +68,10 @@ class BlendingFrontend():
|
|||
self.fps = 30
|
||||
self.duration_video = 10
|
||||
self.t_compute_max_allowed = 10
|
||||
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
|
||||
self.recycle_img1 = False
|
||||
self.recycle_img2 = False
|
||||
|
||||
if not self.use_debug:
|
||||
self.lb.sdh.num_inference_steps = self.num_inference_steps
|
||||
|
|
@ -125,7 +121,7 @@ class BlendingFrontend():
|
|||
self.lb.set_negative_prompt(list_ui_elem[list_ui_keys.index('negative_prompt')])
|
||||
self.lb.guidance_scale = list_ui_elem[list_ui_keys.index('guidance_scale')]
|
||||
self.lb.guidance_scale_mid_damper = list_ui_elem[list_ui_keys.index('guidance_scale_mid_damper')]
|
||||
self.lb.t_compute_max_allowed = list_ui_elem[list_ui_keys.index('duration_compute')]
|
||||
self.t_compute_max_allowed = list_ui_elem[list_ui_keys.index('duration_compute')]
|
||||
self.lb.num_inference_steps = list_ui_elem[list_ui_keys.index('num_inference_steps')]
|
||||
self.lb.sdh.num_inference_steps = list_ui_elem[list_ui_keys.index('num_inference_steps')]
|
||||
self.duration_video = list_ui_elem[list_ui_keys.index('duration_video')]
|
||||
|
|
@ -148,6 +144,8 @@ class BlendingFrontend():
|
|||
img1 = Image.fromarray(self.lb.compute_latents1(return_image=True))
|
||||
img1.save(fp_img1)
|
||||
self.save_empty_image()
|
||||
self.recycle_img1 = True
|
||||
self.recycle_img2 = False
|
||||
return [fp_img1, self.fp_img_empty, self.fp_img_empty, self.fp_img_empty, self.fp_img_empty]
|
||||
|
||||
def compute_img2(self, *args):
|
||||
|
|
@ -156,9 +154,19 @@ class BlendingFrontend():
|
|||
fp_img2 = os.path.join(self.dp_out, f"img2_{get_time('second')}.jpg")
|
||||
img2 = Image.fromarray(self.lb.compute_latents2(return_image=True))
|
||||
img2.save(fp_img2)
|
||||
self.recycle_img2 = True
|
||||
return [self.fp_img_empty, self.fp_img_empty, self.fp_img_empty, fp_img2]
|
||||
|
||||
def compute_transition(self, *args):
|
||||
|
||||
if not self.recycle_img1:
|
||||
print("compute first image before transition")
|
||||
return
|
||||
if not self.recycle_img2:
|
||||
print("compute last image before transition")
|
||||
return
|
||||
|
||||
|
||||
list_ui_elem = args
|
||||
self.setup_lb(list_ui_elem)
|
||||
print("STARTING DIFFUSION!")
|
||||
|
|
@ -172,10 +180,11 @@ class BlendingFrontend():
|
|||
|
||||
# Run Latent Blending
|
||||
imgs_transition = self.lb.run_transition(
|
||||
recycle_img1=True,
|
||||
recycle_img2=True,
|
||||
recycle_img1=self.recycle_img1,
|
||||
recycle_img2=self.recycle_img2,
|
||||
num_inference_steps=self.num_inference_steps,
|
||||
depth_strength=self.depth_strength,
|
||||
t_compute_max_allowed=self.t_compute_max_allowed,
|
||||
fixed_seeds=fixed_seeds
|
||||
)
|
||||
print(f"Latent Blending pass finished. Resulted in {len(imgs_transition)} images")
|
||||
|
|
@ -222,9 +231,8 @@ class BlendingFrontend():
|
|||
|
||||
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
|
||||
|
||||
dp_out = os.path.join(self.dp_out, get_time('second'))
|
||||
self.lb.write_imgs_transition(dp_out)
|
||||
self.lb.swap_forward()
|
||||
list_out = [self.list_fp_imgs_current[-1]]
|
||||
list_out.extend([self.fp_img_empty]*4)
|
||||
|
|
@ -232,19 +240,14 @@ class BlendingFrontend():
|
|||
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))
|
||||
|
||||
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)
|
||||
|
|
@ -261,44 +264,7 @@ class BlendingFrontend():
|
|||
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)
|
||||
|
|
@ -388,6 +354,9 @@ if __name__ == "__main__":
|
|||
|
||||
with gr.Row():
|
||||
vid_transition = gr.Video()
|
||||
|
||||
with gr.Row():
|
||||
b_stackforward = gr.Button('multi-movie start next segment (move last image -> first image)')
|
||||
|
||||
# Collect all UI elemts in list to easily pass as inputs
|
||||
dict_ui_elem["prompt1"] = prompt1
|
||||
|
|
@ -430,4 +399,7 @@ if __name__ == "__main__":
|
|||
inputs=list_ui_elem,
|
||||
outputs=[img2, img3, img4, vid_transition])
|
||||
|
||||
b_stackforward.click(self.stack_forward,
|
||||
inputs=[prompt2, seed2],
|
||||
outputs=[img1, img2, img3, img4, img5, prompt1, seed1, prompt2])
|
||||
demo.launch(share=self.share, inbrowser=True, inline=False)
|
||||
|
|
|
|||
Loading…
Reference in New Issue