gan_explorer.py

from __future__ import print_function

import os, math, ipyplot
from pathlib import Path
import numpy as np
import torch, torchvision, pickle
import PIL
from PIL import Image
from matplotlib.pyplot import imshow
import IPython.display
from IPython.display import display, clear_output
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
from tqdm.notebook import tqdm
from datetime import datetime

class stylegan2_ada_model:
    def __init__(self):
        self.name = ""
        self.path = ""
        self.prefix = ""
        self.model = None

    def update_name_path(self, name, path):
        self.name = name
        self.path = path
        self.model = self.load_model()

    def update_prefix(self, prefix):
        self.prefix = prefix

    def load_model(self):
        with open(self.path, 'rb') as f:
            G = pickle.load(f)['G_ema'].cuda() 
        return(G)  

class seeds_updater:
    def __init__(self):
        self.seed_list = []
        self.imgs_list = []

    def add_seed_img(self, seed, img):
        self.seed_list.append(seed)
        self.imgs_list.append(img)

    def remove_last_seed(self):
        self.seed_list = self.seed_list[:-1]
        self.imgs_list = self.imgs_list[:-1]
        
    def reset_seeds(self):
        self.seed_list = []
        self.imgs_list = []

    def replace_seeds(self, seeds, imgs):
        self.seed_list = seeds
        self.imgs_list = imgs
        
class settings_updater:
    def __init__(self):
        self.truncation_psi = 0.7
        self.truncation_cutoff = 8

    def update_truncation(truncation_psi, truncation_cutoff):
        self.truncation_psi = truncation_psi
        self.truncation_cutoff = truncation_cutoff


def get_timeline_controls(model, seeds_updater, settings, output_folder):
    button_get_random = widgets.Button(description="Get random seed")
    button_prev = widgets.Button(description="<<<")
    button_next = widgets.Button(description=">>>")
    buttons_line_1 = widgets.HBox([button_prev, button_get_random, button_next])

    button_add_seed = widgets.Button(description="Add seed")
    button_remove_last_seed = widgets.Button(description="Remove last seed")
    button_reset_seeds = widgets.Button(description="Reset_seeds timeline")
    buttons_line_2 = widgets.HBox([button_add_seed, button_remove_last_seed, button_reset_seeds])

    amount_seeds = widgets.Text(value='100', disabled=False)
    button_amount_seeds = widgets.Button(description="Generate N seeds")
    buttons_line_3 = widgets.HBox([amount_seeds, button_amount_seeds])

    output = widgets.Output()
    output2 = widgets.Output()

    def on_save_clicked(b):
        with output2:
            clear_output()
            if(seeds_updater.seed_list):
                if seeds_updater.seed_list[-1] != button_get_random.seed:
                    seeds_updater.add_seed_img(button_get_random.seed, button_get_random.img)
            else:
                seeds_updater.add_seed_img(button_get_random.seed, button_get_random.img)

            print(seeds_updater.seed_list)
            display_seeds_as_imgs()

    def on_remove_last_seed(b):
        with output2:
            clear_output()
            if(seeds_updater.seed_list):
                seeds_updater.remove_last_seed()
                print(seeds_updater.seed_list)
                display_seeds_as_imgs()

    def on_reset_seeds(b):
        with output2:
            clear_output()
            seeds_updater.reset_seeds()
            display_seeds_as_imgs()

    def display_seeds_as_imgs():
        if seeds_updater.imgs_list:
            ipyplot.plot_images(seeds_updater.imgs_list, labels = seeds_updater.seed_list, img_width=200)

    def on_random_clicked(b):
        with output:
            clear_output()
            seed_gen = np.random.randint(0, 400000)
            print(seed_gen)
            b.img = make_img_from_seed(model.model, settings, seed_gen).resize((256,256))
            display(b.img)
            b.seed = seed_gen
            b.prev_seeds.append(b.seed)
            b.pos = len(b.prev_seeds)
            print(b.prev_seeds)

    def on_load_clicked(b):
        with output2:
            gen_amount = int(amount_seeds.value)
            gen_amount = max(1, gen_amount)
            gen_n_random(model.model, settings, gen_amount, output_folder)
            

    def on_prev(b):
        with output:
            if len(button_get_random.prev_seeds) > 1 and button_get_random.pos >= 1:
                button_get_random.pos -= 1
                button_get_random.seed = button_get_random.prev_seeds[button_get_random.pos]
                button_get_random.img = make_img_from_seed(model.model, settings, button_get_random.seed).resize((256,256))
                clear_output()
                print(button_get_random.seed)
                display(button_get_random.img)
                print(button_get_random.prev_seeds)

    def on_next(b):
        with output:
            if len(button_get_random.prev_seeds) > 1 and button_get_random.pos < len(button_get_random.prev_seeds) - 1:
                button_get_random.pos += 1
                button_get_random.seed = button_get_random.prev_seeds[button_get_random.pos]
                button_get_random.img = make_img_from_seed(model.model, settings, button_get_random.seed).resize((256,256))
                clear_output()
                print(button_get_random.seed)
                display(button_get_random.img)
                print(button_get_random.prev_seeds)


    button_add_seed.seeds = []
    button_add_seed.imgs = []
    button_add_seed.on_click(on_save_clicked)
    button_remove_last_seed.on_click(on_remove_last_seed)
    button_reset_seeds.on_click(on_reset_seeds)

    button_get_random.prev_seeds = []
    button_get_random.on_click(on_random_clicked)
    button_prev.on_click(on_prev)
    button_next.on_click(on_next)
    on_random_clicked(button_get_random)

    button_amount_seeds.on_click(on_load_clicked)

    return(output, buttons_line_1, buttons_line_2, buttons_line_3, output2)

def make_img_from_seed(Gs, settings, seed_in = 0):
    torch.manual_seed(seed_in)
    z1 = torch.randn([1, Gs.z_dim]).cuda() 
    c = None #class
    w = Gs.mapping(z1, c, settings.truncation_psi, settings.truncation_cutoff)
    img = Gs.synthesis(w, noise_mode='const', force_fp32=True)

    img = (img.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8)
    img = PIL.Image.fromarray(img[0].cpu().numpy(), 'RGB')

    return(img)

def make_img_from_vec(Gs, w_in):
    c = None
    img = Gs.synthesis(w_in, noise_mode='const', force_fp32=True)
    img = (img.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8)
    img = PIL.Image.fromarray(img[0].cpu().numpy(), 'RGB')

    return(img)
    
def seed2vec(Gs, settings, seed_in = None):
    '''
    Generate vector from seed
    Alternatively, just get a random vector
    '''
    c = None
    if seed_in:
        torch.manual_seed(seed_in)
    z = torch.randn([1, Gs.z_dim]).cuda()
    w = Gs.mapping(z, c, settings.truncation_psi, settings.truncation_cutoff)
    return w

def generate_image(Gs, settings, w):
    img = Gs.synthesis(w, noise_mode='const', force_fp32=True)
    img = (img.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8)
    img = PIL.Image.fromarray(img[0].cpu().numpy(), 'RGB')
    return img

def get_datetime():
    return datetime.today().strftime('%Y_%m_%d-%H-%M-%S')

def gen_n_random(Gs, settings, amount, output_folder, append_time = True):
    if append_time: 
        output_folder = os.path.join(output_folder, 'Random', get_datetime())

    Path(output_folder).mkdir(exist_ok=True, parents=True)

    tqdm_progress = tqdm(range(amount), desc = "", leave = True)

    for i in tqdm_progress:
        w = seed2vec(Gs, settings)
        img = generate_image(Gs, settings, w)
        img.save(os.path.join(output_folder, f"frame_{str(i + 1)}.png"))

        tqdm_progress.set_description(f"Random pics: {i + 1}/{amount}")
        tqdm_progress.refresh()


def get_render_controls(model, settings, seeds_updater, sequence_folder = "/content/sequence", video_folder = "/content/renders"):
    STEPS = 100
    easy_ease = 1
    loop = True
    SEEDS = [39644, 35189, 4531, 11258, 7987] #MANUAL
    FPS = 25

    def easing(x, beta):
        b = beta
        return 1 / (1 + math.pow(x / (1 - x + 1e-8), -b))

    def get_normalized_distances(seeds, frames):

        vecs = [seed2vec(model.model, settings, s) for s in seeds]
        dist = []

        for t in range(len(vecs) - 1):
            dist.append(((vecs[t]-vecs[t + 1])**2).sum(axis=1).item()) #Euclidian distance
        
        dist = np.array(dist)
        dist /= np.average(dist)
        factor = len(dist) * frames / sum(dist)
        dist = (factor * dist).astype("int")
        
        return(dist)

    def render_seq_bttn_click(b):
        with output3:
            clear_output()
            assert seeds_updater.seed_list
            seeds = seeds_updater.seed_list
            render_sequence(model, settings, seeds, steps_slider.value, sequence_folder, easing_slider.value, loop_chkbx.value)

    def render_vid_bttn_click(b):
        with output3:
            clear_output()
            assert len(os.listdir(sequence_folder)) != 0
            assert seeds_updater.seed_list
            SEEDS = seeds_updater.seed_list
            create_video(sequence_folder, video_folder, fps_text.value, SEEDS)

    def render_sequence(model, settings, seeds, num_steps, output_folder, easy_ease = 1, loop = True, append_date = True):
        output_folder = os.path.join(output_folder, 'Morphs', get_datetime())

        Path(output_folder).mkdir(exist_ok=True, parents=True)
        if loop and seeds[-1] != seeds[0]:
            seeds.append(seeds[0])

#         distances_norm = get_normalized_distances(seeds, num_steps)

        os.system(f"rm {os.path.join(sequence_folder, '*')}")

        idx = 0
        tqdm_progress = tqdm(range(len(seeds)-1), desc = "", leave=True)

        for i in tqdm_progress:
            w1 = seed2vec(model.model, settings, seeds[i])
            w2 = seed2vec(model.model, settings, seeds[i+1])

            diff = w2 - w1
            step = diff / num_steps
            current = w1.clone().detach()

            for s, j in enumerate(range(num_steps)):
                tqdm_progress.set_description(f"State: {i + 1}/{len(seeds) - 1} | Frame: {i*num_steps + s} / {(len(seeds) - 1) * num_steps}")
                tqdm_progress.refresh()

                now = current + diff * easing((s + 0.01 ) / num_steps, easy_ease)
                img = generate_image(model.model, settings, now)
                img.save(os.path.join(output_folder,f'frame-{idx}.png'))
                idx+=1

        print("Rendering video")
        create_video(sequence_folder, video_folder, fps_text.value, seeds)
        print("Finished rendering")

    def create_video(sequence_folder, output_folder, FPS, seeds):
        seeds_list = "_".join([str(s) for s in seeds])
        input_sequence = os.path.join(sequence_folder, "frame-%d.png")
        img = Image.open(os.path.join(sequence_folder, os.listdir(sequence_folder)[0]))
        output_file = os.path.join(output_folder, f"{model.prefix}_{seeds_list}.mp4")
        os.system(f"ffmpeg -r {FPS} -i {input_sequence} -c:v libx264 -b:v 15M -pix_fmt yuv420p {output_file} -y")
        clear_output()

    steps_slider = widgets.IntSlider(min=10, max=1000, step=10, value = STEPS, description='Frames between seeds')
    easing_slider = widgets.FloatSlider(min=1, max=2, step=0.01, value = easy_ease, description='Easing')
    fps_text = widgets.Dropdown(options=['5', '10', '12', '15', '20', '24', '25', '30'],value=str(FPS),description='FPS',disabled=False)
    loop_chkbx = widgets.Checkbox(value=loop,description='Loop',disabled=False,indent=False)
    sliders = widgets.HBox([steps_slider, easing_slider, fps_text, loop_chkbx])

    render_seq_bttn = widgets.Button(description="Render sequence")
    render_vid_bttn = widgets.Button(description="Compile video")
    bttns = widgets.HBox([render_seq_bttn, render_vid_bttn])

    render_seq_bttn.on_click(render_seq_bttn_click)
    render_vid_bttn.on_click(render_vid_bttn_click)

    output3 = widgets.Output()

    return(sliders, bttns, output3)

def get_model_loader(model, models_folder = "/content/models"):
    models_list = [os.path.splitext(os.path.basename(f))[0] for f in os.listdir(models_folder)]
    models_paths = [os.path.join(models_folder,f) for f in os.listdir(models_folder)]
    models_dict = dict(zip(models_list, models_paths))

    def load_model_onclick(b):
        with output_model_select:
            if(models_select.value):
                model.update_name_path(models_select.value, models_dict[models_select.value])
                clear_output()
                print(f"Model {models_select.value} selected")

    models_select = widgets.Dropdown(options=models_list,description='Model',disabled=False)
    load_model_bttn = widgets.Button(description="Load model")
    bttns = widgets.HBox([models_select, load_model_bttn])
    load_model_bttn.on_click(load_model_onclick)

    output_model_select = widgets.Output()

    load_model_onclick(load_model_bttn) #autoclick

    return bttns, output_model_select