simplification and prompt bugfix
This commit is contained in:
parent
4e9c2a3d95
commit
20147a17c6
196
gradio_ui.py
196
gradio_ui.py
|
@ -24,7 +24,7 @@ import torch
|
||||||
from tqdm.auto import tqdm
|
from tqdm.auto import tqdm
|
||||||
from PIL import Image
|
from PIL import Image
|
||||||
import torch
|
import torch
|
||||||
from movie_util import MovieSaver
|
from movie_util import MovieSaver, concatenate_movies
|
||||||
from typing import Callable, List, Optional, Union
|
from typing import Callable, List, Optional, Union
|
||||||
from latent_blending import get_time, yml_save, LatentBlending, add_frames_linear_interp, compare_dicts
|
from latent_blending import get_time, yml_save, LatentBlending, add_frames_linear_interp, compare_dicts
|
||||||
from stable_diffusion_holder import StableDiffusionHolder
|
from stable_diffusion_holder import StableDiffusionHolder
|
||||||
|
@ -33,12 +33,6 @@ import gradio as gr
|
||||||
import copy
|
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.prompt2 = ""
|
||||||
self.negative_prompt = ""
|
self.negative_prompt = ""
|
||||||
self.list_settings = []
|
self.list_settings = []
|
||||||
self.state_prev = {}
|
|
||||||
self.state_current = {}
|
self.state_current = {}
|
||||||
self.showing_current = True
|
self.showing_current = True
|
||||||
self.branch1_influence = 0.02
|
self.branch1_influence = 0.02
|
||||||
self.imgs_show_last = []
|
|
||||||
self.imgs_show_current = []
|
|
||||||
self.nmb_branches_final = 9
|
self.nmb_branches_final = 9
|
||||||
self.nmb_imgs_show = 5 # don't change
|
self.nmb_imgs_show = 5 # don't change
|
||||||
self.fps = 30
|
self.fps = 30
|
||||||
self.duration = 10
|
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:
|
if not self.use_debug:
|
||||||
self.lb.sdh.num_inference_steps = self.num_inference_steps
|
self.lb.sdh.num_inference_steps = self.num_inference_steps
|
||||||
|
@ -82,6 +78,10 @@ class BlendingFrontend():
|
||||||
self.height = 768
|
self.height = 768
|
||||||
self.width = 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):
|
def change_depth_strength(self, value):
|
||||||
self.depth_strength = value
|
self.depth_strength = value
|
||||||
print(f"changed depth_strength to {value}")
|
print(f"changed depth_strength to {value}")
|
||||||
|
@ -127,14 +127,6 @@ class BlendingFrontend():
|
||||||
self.fps = value
|
self.fps = value
|
||||||
print(f"changed fps to {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):
|
def change_negative_prompt(self, value):
|
||||||
self.negative_prompt = value
|
self.negative_prompt = value
|
||||||
|
|
||||||
|
@ -157,30 +149,25 @@ class BlendingFrontend():
|
||||||
return seed
|
return seed
|
||||||
|
|
||||||
|
|
||||||
def run(self):
|
def compute_transition(self, prompt1, prompt2):
|
||||||
|
self.prompt1 = prompt1
|
||||||
|
self.prompt2 = prompt2
|
||||||
print("STARTING DIFFUSION!")
|
print("STARTING DIFFUSION!")
|
||||||
self.state_prev = self.state_current.copy()
|
|
||||||
self.state_current = self.get_state_dict()
|
self.state_current = self.get_state_dict()
|
||||||
# Copy last iteration
|
|
||||||
self.imgs_show_last = copy.deepcopy(self.imgs_show_current)
|
|
||||||
|
|
||||||
if self.use_debug:
|
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 = [(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 = [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")
|
print("DONE! SENDING BACK RESULTS")
|
||||||
return list_imgs
|
return list_imgs
|
||||||
|
|
||||||
|
# Collect latent blending variables
|
||||||
self.lb.set_width(self.width)
|
self.lb.set_width(self.width)
|
||||||
self.lb.set_height(self.height)
|
self.lb.set_height(self.height)
|
||||||
|
|
||||||
self.lb.autosetup_branching(
|
self.lb.autosetup_branching(
|
||||||
depth_strength = self.depth_strength,
|
depth_strength = self.depth_strength,
|
||||||
num_inference_steps = self.num_inference_steps,
|
num_inference_steps = self.num_inference_steps,
|
||||||
nmb_branches_final = self.nmb_branches_final,
|
nmb_branches_final = self.nmb_branches_final,
|
||||||
nmb_mindist = 3)
|
nmb_mindist = 3)
|
||||||
|
|
||||||
self.lb.set_prompt1(self.prompt1)
|
self.lb.set_prompt1(self.prompt1)
|
||||||
self.lb.set_prompt2(self.prompt2)
|
self.lb.set_prompt2(self.prompt2)
|
||||||
self.lb.set_negative_prompt(self.negative_prompt)
|
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.guidance_scale_mid_damper = self.guidance_scale_mid_damper
|
||||||
self.lb.mid_compression_scaler = self.mid_compression_scaler
|
self.lb.mid_compression_scaler = self.mid_compression_scaler
|
||||||
self.lb.branch1_influence = self.branch1_influence
|
self.lb.branch1_influence = self.branch1_influence
|
||||||
|
|
||||||
fixed_seeds = [self.seed1, self.seed2]
|
fixed_seeds = [self.seed1, self.seed2]
|
||||||
|
|
||||||
|
# Run Latent Blending
|
||||||
imgs_transition = self.lb.run_transition(fixed_seeds=fixed_seeds)
|
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!'
|
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)
|
idx_list = np.linspace(0, self.nmb_branches_final-1, self.nmb_imgs_show).astype(np.int32)
|
||||||
list_imgs_preview = []
|
list_imgs_preview = []
|
||||||
for j in idx_list:
|
for j in idx_list:
|
||||||
list_imgs_preview.append(Image.fromarray(imgs_transition[j]))
|
list_imgs_preview.append(Image.fromarray(imgs_transition[j]))
|
||||||
|
|
||||||
# Save as jpgs on disk so we are not sending umcompressed data around
|
# Save the preview imgs as jpgs on disk so we are not sending umcompressed data around
|
||||||
timestamp = get_time('second')
|
self.current_timestamp = get_time('second')
|
||||||
list_fp_imgs = []
|
self.list_fp_imgs_current = []
|
||||||
for i in range(len(list_imgs_preview)):
|
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_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)
|
imgs_transition_ext = add_frames_linear_interp(imgs_transition, self.duration, self.fps)
|
||||||
|
|
||||||
# Save as movie
|
# Save as movie
|
||||||
fp_movie = f"movie_{timestamp}.mp4"
|
fp_movie = self.get_fp_movie(self.current_timestamp)
|
||||||
if os.path.isfile(fp_movie):
|
if os.path.isfile(fp_movie):
|
||||||
os.remove(fp_movie)
|
os.remove(fp_movie)
|
||||||
ms = MovieSaver(fp_movie, fps=self.fps)
|
ms = MovieSaver(fp_movie, fps=self.fps)
|
||||||
|
@ -221,9 +209,47 @@ class BlendingFrontend():
|
||||||
ms.write_frame(img)
|
ms.write_frame(img)
|
||||||
ms.finalize()
|
ms.finalize()
|
||||||
print("DONE SAVING MOVIE! SENDING BACK...")
|
print("DONE SAVING MOVIE! SENDING BACK...")
|
||||||
list_return = list_fp_imgs + [fp_movie]
|
|
||||||
|
# Assemble Output, updating the preview images and le movie
|
||||||
|
list_return = self.list_fp_imgs_current + [fp_movie]
|
||||||
return list_return
|
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):
|
def get_state_dict(self):
|
||||||
|
@ -237,15 +263,75 @@ class BlendingFrontend():
|
||||||
return state_dict
|
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__":
|
if __name__ == "__main__":
|
||||||
|
|
||||||
fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_768-ema-pruned.ckpt"
|
# fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_768-ema-pruned.ckpt"
|
||||||
# fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_512-ema-pruned.ckpt"
|
fp_ckpt = "../stable_diffusion_models/ckpt/v2-1_512-ema-pruned.ckpt"
|
||||||
# sdh = StableDiffusionHolder(fp_ckpt)
|
sdh = StableDiffusionHolder(fp_ckpt)
|
||||||
self = BlendingFrontend(None)
|
|
||||||
|
self = BlendingFrontend(sdh) # Yes this is possible in python and yes it is an awesome trick
|
||||||
|
|
||||||
with gr.Blocks() as demo:
|
with gr.Blocks() as demo:
|
||||||
|
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
prompt1 = gr.Textbox(label="prompt 1")
|
prompt1 = gr.Textbox(label="prompt 1")
|
||||||
prompt2 = gr.Textbox(label="prompt 2")
|
prompt2 = gr.Textbox(label="prompt 2")
|
||||||
|
@ -267,13 +353,12 @@ if __name__ == "__main__":
|
||||||
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)
|
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():
|
with gr.Row():
|
||||||
b_run = gr.Button('COMPUTE!', variant='primary')
|
|
||||||
seed1 = gr.Number(42, label="seed 1", interactive=True)
|
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)
|
seed2 = gr.Number(420, label="seed 2", interactive=True)
|
||||||
|
b_newseed2 = gr.Button("randomize seed 2", variant='secondary')
|
||||||
with gr.Column():
|
with gr.Row():
|
||||||
b_newseed1 = gr.Button("randomize \nseed 1", variant='secondary')
|
b_compute_transition = gr.Button('compute transition', variant='primary')
|
||||||
b_newseed2 = gr.Button("randomize \nseed 2", variant='secondary')
|
|
||||||
|
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
img1 = gr.Image(label="1/5")
|
img1 = gr.Image(label="1/5")
|
||||||
|
@ -283,7 +368,7 @@ if __name__ == "__main__":
|
||||||
img5 = gr.Image(label="5/5")
|
img5 = gr.Image(label="5/5")
|
||||||
|
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
vid = gr.Video()
|
vid_transition = gr.Video()
|
||||||
|
|
||||||
# Bind the on-change methods
|
# Bind the on-change methods
|
||||||
depth_strength.change(fn=self.change_depth_strength, inputs=depth_strength)
|
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)
|
height.change(fn=self.change_height, inputs=height)
|
||||||
width.change(fn=self.change_width, inputs=width)
|
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)
|
negative_prompt.change(fn=self.change_negative_prompt, inputs=negative_prompt)
|
||||||
seed1.change(fn=self.change_seed1, inputs=seed1)
|
seed1.change(fn=self.change_seed1, inputs=seed1)
|
||||||
seed2.change(fn=self.change_seed2, inputs=seed2)
|
seed2.change(fn=self.change_seed2, inputs=seed2)
|
||||||
|
@ -305,6 +388,13 @@ if __name__ == "__main__":
|
||||||
|
|
||||||
b_newseed1.click(self.randomize_seed1, outputs=seed1)
|
b_newseed1.click(self.randomize_seed1, outputs=seed1)
|
||||||
b_newseed2.click(self.randomize_seed2, outputs=seed2)
|
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)
|
demo.launch(share=self.share, inbrowser=True, inline=False)
|
||||||
|
|
Loading…
Reference in New Issue