1.0.20 (#35)

Re-write UI to use async codes: (1) for faster start, and (2) for better live preview.
Removed opencv dependency
Plan to support Linux soon

fooocus_version.py

@@ -1 +1 @@
-version = '1.0.19'
+version = '1.0.20'

modules/async_worker.py

@@ -0,0 +1,77 @@
+import threading
+
+
+buffer = []
+outputs = []
+
+
+def worker():
+    global buffer, outputs
+
+    import time
+    import random
+    import modules.default_pipeline as pipeline
+    import modules.path
+
+    from PIL import Image
+    from modules.sdxl_styles import apply_style, aspect_ratios
+    from modules.util import generate_temp_filename
+
+    def handler(task):
+        prompt, negative_prompt, style_selction, performance_selction, \
+        aspect_ratios_selction, image_number, image_seed, base_model_name, refiner_model_name, \
+        l1, w1, l2, w2, l3, w3, l4, w4, l5, w5 = task
+
+        loras = [(l1, w1), (l2, w2), (l3, w3), (l4, w4), (l5, w5)]
+
+        pipeline.refresh_base_model(base_model_name)
+        pipeline.refresh_refiner_model(refiner_model_name)
+        pipeline.refresh_loras(loras)
+
+        p_txt, n_txt = apply_style(style_selction, prompt, negative_prompt)
+
+        if performance_selction == 'Speed':
+            steps = 30
+            switch = 20
+        else:
+            steps = 60
+            switch = 40
+
+        width, height = aspect_ratios[aspect_ratios_selction]
+
+        results = []
+        seed = image_seed
+        if not isinstance(seed, int) or seed < 0 or seed > 65535:
+            seed = random.randint(1, 65535)
+
+        all_steps = steps * image_number
+
+        def callback(step, x0, x, total_steps, y):
+            done_steps = i * steps + step
+            outputs.append(['preview', (
+                int(100.0 * float(done_steps) / float(all_steps)),
+                f'Step {step}/{total_steps} in the {i}-th Sampling',
+                y)])
+
+        for i in range(image_number):
+            imgs = pipeline.process(p_txt, n_txt, steps, switch, width, height, seed, callback=callback)
+
+            for x in imgs:
+                local_temp_filename = generate_temp_filename(folder=modules.path.temp_outputs_path, extension='png')
+                Image.fromarray(x).save(local_temp_filename)
+
+            seed += 1
+            results += imgs
+
+        outputs.append(['results', results])
+        return
+
+    while True:
+        time.sleep(0.01)
+        if len(buffer) > 0:
+            task = buffer.pop(0)
+            handler(task)
+    pass
+
+
+threading.Thread(target=worker, daemon=True).start()

modules/core.py

@@ -1,6 +1,5 @@
 import os
 import random
-import cv2
 import einops
 import torch
 import numpy as np
@@ -8,12 +7,11 @@ import numpy as np
 import comfy.model_management
 import comfy.utils
 
-from comfy.sd import load_checkpoint_guess_config, load_lora_for_models
+from comfy.sd import load_checkpoint_guess_config
 from nodes import VAEDecode, EmptyLatentImage, CLIPTextEncode
 from comfy.sample import prepare_mask, broadcast_cond, load_additional_models, cleanup_additional_models
 from modules.samplers_advanced import KSampler, KSamplerWithRefiner
 from modules.adm_patch import patch_negative_adm
-from modules.cv2win32 import show_preview
 
 
 patch_negative_adm()
@@ -86,11 +84,7 @@ def get_previewer(device, latent_format):
             x_sample = taesd.decoder(torch.nn.functional.avg_pool2d(x0, kernel_size=(2, 2))).detach() * 255.0
             x_sample = einops.rearrange(x_sample, 'b c h w -> b h w c')
             x_sample = x_sample.cpu().numpy().clip(0, 255).astype(np.uint8)
-            for i, s in enumerate(x_sample):
+            return x_sample[0]
-                if i > 0:
-                    show_preview(f'cv2_preview_{i}', s, title=f'Preview Image {i}, step = [{step}/{total_steps}')
-                else:
-                    show_preview(f'cv2_preview_{i}', s, title=f'Preview Image, step =  {step}/{total_steps}')
 
     taesd.preview = preview_function
 
@@ -126,10 +120,11 @@ def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=7.0, sa
     pbar = comfy.utils.ProgressBar(steps)
 
     def callback(step, x0, x, total_steps):
-        if callback_function is not None:
+        y = None
-            callback_function(step, x0, x, total_steps)
         if previewer and step % 3 == 0:
-            previewer.preview(x0, step, total_steps)
+            y = previewer.preview(x0, step, total_steps)
+        if callback_function is not None:
+            callback_function(step, x0, x, total_steps, y)
         pbar.update_absolute(step + 1, total_steps, None)
 
     sigmas = None
@@ -197,10 +192,11 @@ def ksampler_with_refiner(model, positive, negative, refiner, refiner_positive,
     pbar = comfy.utils.ProgressBar(steps)
 
     def callback(step, x0, x, total_steps):
-        if callback_function is not None:
+        y = None
-            callback_function(step, x0, x, total_steps)
         if previewer and step % 3 == 0:
-            previewer.preview(x0, step, total_steps)
+            y = previewer.preview(x0, step, total_steps)
+        if callback_function is not None:
+            callback_function(step, x0, x, total_steps, y)
         pbar.update_absolute(step + 1, total_steps, None)
 
     sigmas = None

modules/cv2win32.py

@@ -1,43 +0,0 @@
-import threading
-import cv2
-import os
-
-
-buffer = []
-
-
-def worker():
-    global buffer
-    try:
-        while True:
-            cv2.waitKey(50)
-            if len(buffer) > 0:
-                task = buffer.pop(0)
-                if task is None:
-                    cv2.destroyAllWindows()
-                else:
-                    flag, img, title = task
-                    cv2.imshow(flag, img)
-                    cv2.setWindowTitle(flag, title)
-                    cv2.setWindowProperty(flag, cv2.WND_PROP_TOPMOST, 1)
-    except Exception as e:
-        print('Failed to open preview window. You are not using a local device with GUI support.')
-        print(e)
-    pass
-
-
-def save_image(path, img):
-    os.makedirs(os.path.dirname(path), exist_ok=True)
-    cv2.imwrite(path, img[..., ::-1].copy())
-    print(f'Image saved: {path}')
-
-
-def show_preview(flag, img, title='preview'):
-    buffer.append((flag, img[..., ::-1].copy(), title))
-
-
-def close_all_preview():
-    buffer.append(None)
-
-
-threading.Thread(target=worker, daemon=True).start()

modules/html.py

@@ -0,0 +1,84 @@
+css = '''
+.loader-container {
+  display: flex; /* Use flex to align items horizontally */
+  align-items: center; /* Center items vertically within the container */
+  white-space: nowrap; /* Prevent line breaks within the container */
+}
+
+.loader {
+  border: 8px solid #f3f3f3; /* Light grey */
+  border-top: 8px solid #3498db; /* Blue */
+  border-radius: 50%;
+  width: 30px;
+  height: 30px;
+  animation: spin 2s linear infinite;
+}
+
+@keyframes spin {
+  0% { transform: rotate(0deg); }
+  100% { transform: rotate(360deg); }
+}
+
+/* Style the progress bar */
+progress {
+  appearance: none; /* Remove default styling */
+  height: 20px; /* Set the height of the progress bar */
+  border-radius: 5px; /* Round the corners of the progress bar */
+  background-color: #f3f3f3; /* Light grey background */
+  width: 100%;
+}
+
+/* Style the progress bar container */
+.progress-container {
+  margin-left: 20px;
+  margin-right: 20px;
+  flex-grow: 1; /* Allow the progress container to take up remaining space */
+}
+
+/* Set the color of the progress bar fill */
+progress::-webkit-progress-value {
+  background-color: #3498db; /* Blue color for the fill */
+}
+
+progress::-moz-progress-bar {
+  background-color: #3498db; /* Blue color for the fill in Firefox */
+}
+
+/* Style the text on the progress bar */
+progress::after {
+  content: attr(value '%'); /* Display the progress value followed by '%' */
+  position: absolute;
+  top: 50%;
+  left: 50%;
+  transform: translate(-50%, -50%);
+  color: white; /* Set text color */
+  font-size: 14px; /* Set font size */
+}
+
+/* Style other texts */
+.loader-container > span {
+  margin-left: 5px; /* Add spacing between the progress bar and the text */
+}
+
+.progress-bar > .generating {
+  display: none !important;
+}
+
+.progress-bar{
+  height: 30px !important;
+}
+
+'''
+progress_html = '''
+<div class="loader-container">
+  <div class="loader"></div>
+  <div class="progress-container">
+    <progress value="*number*" max="100"></progress>
+  </div>
+  <span>*text*</span>
+</div>
+'''
+
+
+def make_progress_html(number, text):
+    return progress_html.replace('*number*', str(number)).replace('*text*', text)

requirements_versions.txt

@@ -8,8 +8,8 @@ Pillow==9.2.0
 scipy==1.9.3
 tqdm==4.64.1
 psutil==5.9.5
-opencv-python==4.7.0.72
 numpy==1.23.5
 pytorch_lightning==1.9.4
 omegaconf==2.2.3
 gradio==3.39.0
+pygit2==1.12.2

update_log.md

@@ -1,3 +1,9 @@
+### 1.0.20
+
+* Re-write UI to use async codes: (1) for faster start, and (2) for better live preview.
+* Removed opencv dependency
+* Plan to support Linux soon
+
 ### 1.0.19
 
 * Unlock to allow changing model.

webui.py

@@ -1,65 +1,49 @@
 import gradio as gr
+import sys
+import time
 import modules.path
-import random
 import fooocus_version
-import modules.default_pipeline as pipeline
+import modules.html
+import modules.async_worker as worker
 
-from modules.sdxl_styles import apply_style, style_keys, aspect_ratios
+from modules.sdxl_styles import style_keys, aspect_ratios
-from modules.cv2win32 import close_all_preview, save_image
-from modules.util import generate_temp_filename
 
 
-def generate_clicked(prompt, negative_prompt, style_selction, performance_selction,
+def generate_clicked(*args):
-                     aspect_ratios_selction, image_number, image_seed, base_model_name, refiner_model_name,
+    yield gr.update(interactive=False), \
-                     l1, w1, l2, w2, l3, w3, l4, w4, l5, w5, progress=gr.Progress()):
+        gr.update(visible=True, value=modules.html.make_progress_html(1, 'Processing text encoding ...')), \
+        gr.update(visible=True, value=None), \
+        gr.update(visible=False)
 
-    loras = [(l1, w1), (l2, w2), (l3, w3), (l4, w4), (l5, w5)]
+    worker.buffer.append(list(args))
+    finished = False
 
-    pipeline.refresh_base_model(base_model_name)
+    while not finished:
-    pipeline.refresh_refiner_model(refiner_model_name)
+        time.sleep(0.01)
-    pipeline.refresh_loras(loras)
+        if len(worker.outputs) > 0:
-
+            flag, product = worker.outputs.pop(0)
-    p_txt, n_txt = apply_style(style_selction, prompt, negative_prompt)
+            if flag == 'preview':
-
+                percentage, title, image = product
-    if performance_selction == 'Speed':
+                yield gr.update(interactive=False), \
-        steps = 30
+                    gr.update(visible=True, value=modules.html.make_progress_html(percentage, title)), \
-        switch = 20
+                    gr.update(visible=True, value=image) if image is not None else gr.update(), \
-    else:
+                    gr.update(visible=False)
-        steps = 60
+            if flag == 'results':
-        switch = 40
+                yield gr.update(interactive=True), \
-
+                    gr.update(visible=False), \
-    width, height = aspect_ratios[aspect_ratios_selction]
+                    gr.update(visible=False), \
-
+                    gr.update(visible=True, value=product)
-    results = []
+                finished = True
-    seed = image_seed
+    return
-    if not isinstance(seed, int) or seed < 0 or seed > 65535:
-        seed = random.randint(1, 65535)
-
-    all_steps = steps * image_number
-
-    def callback(step, x0, x, total_steps):
-        done_steps = i * steps + step
-        progress(float(done_steps) / float(all_steps), f'Step {step}/{total_steps} in the {i}-th Sampling')
-
-    for i in range(image_number):
-        imgs = pipeline.process(p_txt, n_txt, steps, switch, width, height, seed, callback=callback)
-
-        for x in imgs:
-            local_temp_filename = generate_temp_filename(folder=modules.path.temp_outputs_path, extension='png')
-            save_image(local_temp_filename, x)
-
-        seed += 1
-        results += imgs
-
-    close_all_preview()
-    return results
 
 
-block = gr.Blocks(title='Fooocus ' + fooocus_version.version).queue()
+block = gr.Blocks(title='Fooocus ' + fooocus_version.version, css=modules.html.css).queue()
 with block:
     with gr.Row():
         with gr.Column():
-            gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720)
+            progress_window = gr.Image(label='Preview', show_label=True, height=640, visible=False)
+            progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False, elem_id='progress-bar', elem_classes='progress-bar')
+            gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720, visible=True)
             with gr.Row():
                 with gr.Column(scale=0.85):
                     prompt = gr.Textbox(show_label=False, placeholder="Type prompt here.", container=False, autofocus=True)
@@ -107,6 +91,6 @@ with block:
             performance_selction, aspect_ratios_selction, image_number, image_seed
         ]
         ctrls += [base_model, refiner_model] + lora_ctrls
-        run_button.click(fn=generate_clicked, inputs=ctrls, outputs=[gallery])
+        run_button.click(fn=generate_clicked, inputs=ctrls, outputs=[run_button, progress_html, progress_window, gallery])
 
-block.launch(inbrowser=True)
+block.launch(inbrowser=True, server_name='0.0.0.0' if '--listen' in sys.argv else None)