Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,48 +1,70 @@
|
|
1 |
import gradio as gr
|
2 |
from diffusion_lens import get_images
|
3 |
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
def generate_images(prompt, all_images):
|
9 |
print('calling diffusion lens')
|
10 |
-
|
11 |
for skip_layers in range(11, -1, -1):
|
12 |
images = get_images(prompt, skip_layers=skip_layers)
|
13 |
-
all_images.append(images[0])
|
14 |
-
yield all_images # Yield the list of all images
|
15 |
|
16 |
with gr.Blocks() as demo:
|
17 |
text_input = gr.Textbox(label="Enter prompt")
|
18 |
gallery = gr.Gallery(label="Generated Images", columns=6, rows=2, object_fit="contain", height="auto")
|
19 |
-
|
20 |
button = gr.Button("Diffusion Lens") # Create a button with the label 'Diffusion Lens'
|
21 |
-
all_images = [] # Initialize a list to store all images outside the function
|
22 |
-
|
23 |
-
# Bind the button click to the generate_images function
|
24 |
-
button.click(fn=generate_images, inputs=[text_input, gr.State(all_images)], outputs=gallery)
|
25 |
|
26 |
-
#
|
|
|
27 |
|
28 |
demo.launch()
|
29 |
|
30 |
|
31 |
-
#
|
32 |
-
#
|
33 |
-
|
|
|
|
|
34 |
|
35 |
-
# def get_prompt(prompt):
|
36 |
-
# print('prompt:', prompt)
|
37 |
-
# return prompt
|
38 |
|
39 |
-
# def generate_images(prompt):
|
40 |
# print('calling diffusion lens')
|
41 |
-
#
|
|
|
42 |
# images = get_images(prompt, skip_layers=skip_layers)
|
43 |
-
#
|
44 |
-
#
|
45 |
|
46 |
# with gr.Blocks() as demo:
|
47 |
-
# text_input = gr.
|
48 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import gradio as gr
|
2 |
from diffusion_lens import get_images
|
3 |
|
4 |
+
def generate_images(prompt, _):
|
|
|
|
|
|
|
|
|
5 |
print('calling diffusion lens')
|
6 |
+
all_images = [] # Initialize a list to store all images
|
7 |
for skip_layers in range(11, -1, -1):
|
8 |
images = get_images(prompt, skip_layers=skip_layers)
|
9 |
+
all_images.append(images[0]) # Add the new image to the list
|
10 |
+
yield all_images # Yield the list of all images after each new image is added
|
11 |
|
12 |
with gr.Blocks() as demo:
|
13 |
text_input = gr.Textbox(label="Enter prompt")
|
14 |
gallery = gr.Gallery(label="Generated Images", columns=6, rows=2, object_fit="contain", height="auto")
|
|
|
15 |
button = gr.Button("Diffusion Lens") # Create a button with the label 'Diffusion Lens'
|
|
|
|
|
|
|
|
|
16 |
|
17 |
+
# Use the button to trigger the generate_images function
|
18 |
+
button.click(fn=generate_images, inputs=[text_input, gr.State(None)], outputs=gallery)
|
19 |
|
20 |
demo.launch()
|
21 |
|
22 |
|
23 |
+
# import gradio as gr
|
24 |
+
# from diffusion_lens import get_images
|
25 |
+
|
26 |
+
|
27 |
+
|
28 |
|
|
|
|
|
|
|
29 |
|
30 |
+
# def generate_images(prompt, all_images):
|
31 |
# print('calling diffusion lens')
|
32 |
+
# # all_images = [] # Initialize a list to store all images
|
33 |
+
# for skip_layers in range(11, -1, -1):
|
34 |
# images = get_images(prompt, skip_layers=skip_layers)
|
35 |
+
# all_images.append(images[0]) # (images[0], f'layer_{12 - skip_layers}')) # Add the new image to the list
|
36 |
+
# yield all_images # Yield the list of all images
|
37 |
|
38 |
# with gr.Blocks() as demo:
|
39 |
+
# text_input = gr.Textbox(label="Enter prompt")
|
40 |
+
# gallery = gr.Gallery(label="Generated Images", columns=6, rows=2, object_fit="contain", height="auto")
|
41 |
+
|
42 |
+
# button = gr.Button("Diffusion Lens") # Create a button with the label 'Diffusion Lens'
|
43 |
+
# all_images = [] # Initialize a list to store all images outside the function
|
44 |
+
|
45 |
+
# # Bind the button click to the generate_images function
|
46 |
+
# button.click(fn=generate_images, inputs=[text_input, gr.State(all_images)], outputs=gallery)
|
47 |
+
|
48 |
+
# # text_input.change(fn=generate_images, inputs=text_input, outputs=gallery)
|
49 |
+
|
50 |
+
# demo.launch()
|
51 |
+
|
52 |
+
|
53 |
+
# # def display_images(images):
|
54 |
+
# # # Prepare images for display
|
55 |
+
# # return [gr.Image(image) for image in images]
|
56 |
+
|
57 |
+
# # def get_prompt(prompt):
|
58 |
+
# # print('prompt:', prompt)
|
59 |
+
# # return prompt
|
60 |
+
|
61 |
+
# # def generate_images(prompt):
|
62 |
+
# # print('calling diffusion lens')
|
63 |
+
# # for skip_layers in range(23, 0, -1):
|
64 |
+
# # images = get_images(prompt, skip_layers=skip_layers)
|
65 |
+
# # yield images[0] # Yield each image as soon as it's ready
|
66 |
+
# # # yield gr.Image(images[0]) # Yield each image as soon as it's ready
|
67 |
+
|
68 |
+
# # with gr.Blocks() as demo:
|
69 |
+
# # text_input = gr.Interface(fn=generate_images, inputs="text", outputs="image")
|
70 |
+
# # demo.launch()
|