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latentblending
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Anna 2023-01-04 17:37:14 +01:00
parent 500ba7c051
commit 6487dd7491
3 changed files with 6 additions and 7 deletions
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2
cherry_picknick.py
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@ -80,7 +80,7 @@ for i in range(10):
# seed0 = 629575320
lb = LatentBlending(sdh)
lb.autosetup_branching(quality='medium', deepth_strength=0.65)
lb.autosetup_branching(quality='medium', depth_strength=0.65)
prompt1 = "photo of a futuristic alien temple in a desert, mystic, glowing, organic, intricate, sci-fi movie, mesmerizing, scary"
lb.set_prompt1(prompt1)

7
example1_standard.py
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@ -22,7 +22,7 @@ import warnings
import torch
from tqdm.auto import tqdm
from PIL import Image
import matplotlib.pyplot as plt
# import matplotlib.pyplot as plt
import torch
from movie_util import MovieSaver
from typing import Callable, List, Optional, Union
@ -40,7 +40,7 @@ sdh = StableDiffusionHolder(fp_ckpt, fp_config, device)
#%% Next let's set up all parameters
quality = 'medium'
deepth_strength = 0.65 # Specifies how deep (in terms of diffusion iterations the first branching happens)
depth_strength = 0.65 # Specifies how deep (in terms of diffusion iterations the first branching happens)
fixed_seeds = [69731932, 504430820]
prompt1 = "photo of a beautiful cherry forest covered in white flowers, ambient light, very detailed, magic"
@ -51,14 +51,13 @@ fps = 30
# Spawn latent blending
lb = LatentBlending(sdh)
lb.autosetup_branching(quality=quality, deepth_strength=deepth_strength)
lb.autosetup_branching(quality=quality, depth_strength=depth_strength)
lb.set_prompt1(prompt1)
lb.set_prompt2(prompt2)
# Run latent blending
imgs_transition = lb.run_transition(fixed_seeds=fixed_seeds)
# Let's get more cheap frames via linear interpolation (duration_transition*fps frames)
imgs_transition_ext = add_frames_linear_interp(imgs_transition, duration_transition, fps)

4
example3_multitrans.py
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@ -41,7 +41,7 @@ sdh = StableDiffusionHolder(fp_ckpt, fp_config, device)
fps = 30
duration_single_trans = 15
quality = 'medium'
deepth_strength = 0.55 #Specifies how deep (in terms of diffusion iterations the first branching happens)
depth_strength = 0.55 #Specifies how deep (in terms of diffusion iterations the first branching happens)
# Specify a list of prompts below
list_prompts = []
@ -56,7 +56,7 @@ list_prompts.append("statue of an ancient cybernetic messenger annoucing good ne
list_seeds = [954375479, 332539350, 956051013, 408831845, 250009012, 675588737]
lb = LatentBlending(sdh)
lb.autosetup_branching(quality=quality, deepth_strength=deepth_strength)
lb.autosetup_branching(quality=quality, depth_strength=depth_strength)
fp_movie = "movie_example3.mp4"