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Create app.py
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app.py
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| 1 |
+
import streamlit as st
|
| 2 |
+
import os
|
| 3 |
+
from PIL import Image
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| 4 |
+
import numpy as np
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| 5 |
+
from image_generation import generate_image
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| 6 |
+
from virtual_tryon import (
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| 7 |
+
apply_virtual_tryon,
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| 8 |
+
VALID_CLOTH_TYPES,
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| 9 |
+
VALID_IMAGE_SIZES,
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| 10 |
+
DEFAULT_IMAGE_SIZE,
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| 11 |
+
DEFAULT_NUM_STEPS,
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| 12 |
+
DEFAULT_GUIDANCE_SCALE,
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| 13 |
+
DEFAULT_SEED
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| 14 |
+
)
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| 15 |
+
import io
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| 16 |
+
import urllib3
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| 17 |
+
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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| 18 |
+
|
| 19 |
+
# Set page config
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| 20 |
+
st.set_page_config(
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| 21 |
+
page_title="Virtual Try-On",
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| 22 |
+
layout="wide",
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| 23 |
+
initial_sidebar_state="expanded"
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| 24 |
+
)
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| 25 |
+
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| 26 |
+
# Constants
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| 27 |
+
MAX_SEED = 2147483647
|
| 28 |
+
DEFAULT_LORA_KEYWORD = "OhwxAvani Mehta"
|
| 29 |
+
EXAMPLE_PROMPTS = [
|
| 30 |
+
"fashion product showcase closeup of a luxury red evening dress, studio lighting",
|
| 31 |
+
"wide shot fashion model wearing designer denim jacket, urban street background",
|
| 32 |
+
"closeup product photography of handcrafted leather handbag, neutral background",
|
| 33 |
+
"full body fashion showcase of summer collection dress, beach setting",
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| 34 |
+
"detailed closeup of haute couture embroidered blouse, professional studio setup",
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| 35 |
+
"wide angle fashion editorial of winter coat ensemble, city backdrop",
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| 36 |
+
"product closeup of designer sneakers, minimalist background",
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| 37 |
+
"editorial wide shot of evening wear collection, elegant interior setting"
|
| 38 |
+
]
|
| 39 |
+
|
| 40 |
+
def main():
|
| 41 |
+
st.title("Virtual Try-On System")
|
| 42 |
+
st.markdown("Upload images or generate new ones to try on different clothing items!")
|
| 43 |
+
|
| 44 |
+
# Sidebar for API keys and LoRA settings
|
| 45 |
+
with st.sidebar:
|
| 46 |
+
st.header("API Configuration")
|
| 47 |
+
replicate_api = st.text_input("Replicate API Key", type="password")
|
| 48 |
+
|
| 49 |
+
# Kling API Configuration
|
| 50 |
+
st.subheader("Kling API Configuration")
|
| 51 |
+
kling_access_key = st.text_input("Kling Access Key", type="password")
|
| 52 |
+
kling_secret_key = st.text_input("Kling Secret Key", type="password")
|
| 53 |
+
|
| 54 |
+
st.header("Generation Settings")
|
| 55 |
+
use_lora = st.checkbox("Use LoRA", value=True)
|
| 56 |
+
|
| 57 |
+
if use_lora:
|
| 58 |
+
custom_lora = st.text_input(
|
| 59 |
+
"Custom LoRA URL",
|
| 60 |
+
value="https://huggingface.co/0Learn/loratest/resolve/main/lora.safetensors"
|
| 61 |
+
)
|
| 62 |
+
use_keyword = st.checkbox(
|
| 63 |
+
"Add style keyword to prompts",
|
| 64 |
+
value=True,
|
| 65 |
+
help="Automatically add a style keyword to your prompts"
|
| 66 |
+
)
|
| 67 |
+
if use_keyword:
|
| 68 |
+
custom_keyword = st.text_input(
|
| 69 |
+
"Custom Style Keyword",
|
| 70 |
+
value=DEFAULT_LORA_KEYWORD,
|
| 71 |
+
help="This keyword will be added to your prompts"
|
| 72 |
+
)
|
| 73 |
+
|
| 74 |
+
# Add a tabs section for different functionalities
|
| 75 |
+
tab1, tab2 = st.tabs(["Generate Images", "Virtual Try-On"])
|
| 76 |
+
|
| 77 |
+
with tab1:
|
| 78 |
+
st.header("Image Generation")
|
| 79 |
+
|
| 80 |
+
col1, col2 = st.columns(2)
|
| 81 |
+
|
| 82 |
+
with col1:
|
| 83 |
+
st.subheader("Generation Settings")
|
| 84 |
+
prompt = st.text_area(
|
| 85 |
+
"Generation Prompt",
|
| 86 |
+
value=EXAMPLE_PROMPTS[0],
|
| 87 |
+
height=100,
|
| 88 |
+
help="Describe the image you want to generate"
|
| 89 |
+
)
|
| 90 |
+
|
| 91 |
+
# Example prompts
|
| 92 |
+
with st.expander("Example Prompts"):
|
| 93 |
+
for example in EXAMPLE_PROMPTS:
|
| 94 |
+
if st.button(example[:50] + "...", key=example):
|
| 95 |
+
prompt = example
|
| 96 |
+
st.session_state.current_prompt = example
|
| 97 |
+
|
| 98 |
+
# Advanced settings
|
| 99 |
+
with st.expander("Advanced Settings", expanded=True):
|
| 100 |
+
num_steps = st.slider(
|
| 101 |
+
"Number of Steps",
|
| 102 |
+
min_value=20,
|
| 103 |
+
max_value=50,
|
| 104 |
+
value=DEFAULT_NUM_STEPS,
|
| 105 |
+
help="More steps = better quality but slower"
|
| 106 |
+
)
|
| 107 |
+
|
| 108 |
+
guidance = st.slider(
|
| 109 |
+
"Guidance Scale",
|
| 110 |
+
min_value=1.0,
|
| 111 |
+
max_value=20.0,
|
| 112 |
+
value=DEFAULT_GUIDANCE_SCALE,
|
| 113 |
+
help="How closely to follow the prompt"
|
| 114 |
+
)
|
| 115 |
+
|
| 116 |
+
aspect = st.radio(
|
| 117 |
+
"Aspect Ratio",
|
| 118 |
+
["1:1", "16:9", "3:2", "2:3", "4:5", "5:4"],
|
| 119 |
+
help="Select the aspect ratio for the generated image"
|
| 120 |
+
)
|
| 121 |
+
|
| 122 |
+
negative_prompt = st.text_area(
|
| 123 |
+
"Negative Prompt",
|
| 124 |
+
value="ugly, blurry, low quality, distorted, deformed",
|
| 125 |
+
help="What to avoid in the generation"
|
| 126 |
+
)
|
| 127 |
+
|
| 128 |
+
with col2:
|
| 129 |
+
st.subheader("Generated Image")
|
| 130 |
+
if st.button("Generate Image", type="primary"):
|
| 131 |
+
if not replicate_api:
|
| 132 |
+
st.error("Please provide your Replicate API key in the sidebar!")
|
| 133 |
+
else:
|
| 134 |
+
with st.spinner("Generating image..."):
|
| 135 |
+
# Add LoRA and keyword if enabled
|
| 136 |
+
final_prompt = prompt
|
| 137 |
+
if use_lora and use_keyword and 'custom_keyword' in locals():
|
| 138 |
+
final_prompt = f"{custom_keyword} {prompt}"
|
| 139 |
+
|
| 140 |
+
result_image, status = generate_image(
|
| 141 |
+
final_prompt,
|
| 142 |
+
num_steps=num_steps,
|
| 143 |
+
guidance_scale=guidance,
|
| 144 |
+
aspect_ratio=aspect,
|
| 145 |
+
replicate_api_key=replicate_api,
|
| 146 |
+
lora_url=custom_lora if use_lora else None,
|
| 147 |
+
negative_prompt=negative_prompt
|
| 148 |
+
)
|
| 149 |
+
|
| 150 |
+
if result_image:
|
| 151 |
+
st.session_state.generated_image = result_image
|
| 152 |
+
st.image(result_image, caption="Generated Image", use_column_width=True)
|
| 153 |
+
|
| 154 |
+
# Add buttons to use the generated image
|
| 155 |
+
col1, col2 = st.columns(2)
|
| 156 |
+
with col1:
|
| 157 |
+
if st.button("Use as Person Image"):
|
| 158 |
+
st.session_state.person_img = result_image
|
| 159 |
+
st.success("Set as person image!")
|
| 160 |
+
with col2:
|
| 161 |
+
if st.button("Use as Garment Image"):
|
| 162 |
+
st.session_state.garment_img = result_image
|
| 163 |
+
st.success("Set as garment image!")
|
| 164 |
+
|
| 165 |
+
# Add download button
|
| 166 |
+
buf = io.BytesIO()
|
| 167 |
+
result_image.save(buf, format="PNG")
|
| 168 |
+
st.download_button(
|
| 169 |
+
label="Download Image",
|
| 170 |
+
data=buf.getvalue(),
|
| 171 |
+
file_name="generated_image.png",
|
| 172 |
+
mime="image/png"
|
| 173 |
+
)
|
| 174 |
+
else:
|
| 175 |
+
st.error(status)
|
| 176 |
+
|
| 177 |
+
# Display history of generated images
|
| 178 |
+
if 'generated_images' not in st.session_state:
|
| 179 |
+
st.session_state.generated_images = []
|
| 180 |
+
|
| 181 |
+
if 'generated_image' in st.session_state:
|
| 182 |
+
with st.expander("Generation History"):
|
| 183 |
+
st.session_state.generated_images.append(st.session_state.generated_image)
|
| 184 |
+
for idx, img in enumerate(reversed(st.session_state.generated_images[-5:])):
|
| 185 |
+
st.image(img, caption=f"Generated Image {len(st.session_state.generated_images)-idx}",
|
| 186 |
+
use_column_width=True)
|
| 187 |
+
|
| 188 |
+
with tab2:
|
| 189 |
+
# Move the existing three columns layout here
|
| 190 |
+
col_left, col_mid, col_right = st.columns(3)
|
| 191 |
+
|
| 192 |
+
with col_left:
|
| 193 |
+
st.header("Person Image")
|
| 194 |
+
upload_method = st.radio(
|
| 195 |
+
"Choose input method",
|
| 196 |
+
["Upload Image", "Generate Image"],
|
| 197 |
+
key="person_method"
|
| 198 |
+
)
|
| 199 |
+
|
| 200 |
+
if upload_method == "Upload Image":
|
| 201 |
+
preview_container = st.empty()
|
| 202 |
+
|
| 203 |
+
person_image = st.file_uploader(
|
| 204 |
+
"Upload person image",
|
| 205 |
+
type=['png', 'jpg', 'jpeg'],
|
| 206 |
+
key="person_upload",
|
| 207 |
+
help="Upload a clear full-body photo of the person"
|
| 208 |
+
)
|
| 209 |
+
|
| 210 |
+
if person_image is not None:
|
| 211 |
+
img = Image.open(person_image)
|
| 212 |
+
|
| 213 |
+
with st.expander("Image Settings"):
|
| 214 |
+
resize = st.checkbox("Resize Image", value=True)
|
| 215 |
+
if resize:
|
| 216 |
+
max_size = st.slider("Max Image Size", 256, 1024, 512)
|
| 217 |
+
aspect = float(img.size[0]) / float(img.size[1])
|
| 218 |
+
if aspect > 1:
|
| 219 |
+
new_size = (max_size, int(max_size / aspect))
|
| 220 |
+
else:
|
| 221 |
+
new_size = (int(max_size * aspect), max_size)
|
| 222 |
+
img = img.resize(new_size, Image.Resampling.LANCZOS)
|
| 223 |
+
|
| 224 |
+
preview_container.image(img, caption="Uploaded Person Image", use_column_width=True)
|
| 225 |
+
st.session_state.person_img = img
|
| 226 |
+
else:
|
| 227 |
+
prompt = st.text_area(
|
| 228 |
+
"Generation Prompt",
|
| 229 |
+
value=EXAMPLE_PROMPTS[0],
|
| 230 |
+
height=100
|
| 231 |
+
)
|
| 232 |
+
|
| 233 |
+
# Example prompts section
|
| 234 |
+
if st.button("Show Example Prompts"):
|
| 235 |
+
selected_prompt = st.selectbox(
|
| 236 |
+
"Select an example prompt",
|
| 237 |
+
EXAMPLE_PROMPTS
|
| 238 |
+
)
|
| 239 |
+
if selected_prompt:
|
| 240 |
+
prompt = st.text_area(
|
| 241 |
+
"Generation Prompt",
|
| 242 |
+
value=selected_prompt,
|
| 243 |
+
height=100,
|
| 244 |
+
key="selected_prompt"
|
| 245 |
+
)
|
| 246 |
+
|
| 247 |
+
with st.expander("Generation Settings"):
|
| 248 |
+
num_steps = st.slider("Steps", 20, 50, DEFAULT_NUM_STEPS)
|
| 249 |
+
guidance = st.slider("Guidance Scale", 1.0, 20.0, DEFAULT_GUIDANCE_SCALE)
|
| 250 |
+
aspect = st.radio(
|
| 251 |
+
"Aspect Ratio",
|
| 252 |
+
["1:1", "16:9", "3:2", "2:3", "4:5", "5:4"],
|
| 253 |
+
help="Select the aspect ratio for the generated image"
|
| 254 |
+
)
|
| 255 |
+
|
| 256 |
+
if st.button("Generate Person Image"):
|
| 257 |
+
with st.spinner("Generating image..."):
|
| 258 |
+
final_prompt = prompt
|
| 259 |
+
if use_lora and use_keyword and 'custom_keyword' in locals():
|
| 260 |
+
final_prompt = f"{custom_keyword} {prompt}"
|
| 261 |
+
|
| 262 |
+
result_image, status = generate_image(
|
| 263 |
+
final_prompt,
|
| 264 |
+
num_steps=num_steps,
|
| 265 |
+
guidance_scale=guidance,
|
| 266 |
+
aspect_ratio=aspect,
|
| 267 |
+
replicate_api_key=replicate_api,
|
| 268 |
+
lora_url=custom_lora if use_lora else None
|
| 269 |
+
)
|
| 270 |
+
|
| 271 |
+
if result_image:
|
| 272 |
+
st.session_state.person_img = result_image
|
| 273 |
+
st.image(result_image, caption="Generated Person Image")
|
| 274 |
+
else:
|
| 275 |
+
st.error(status)
|
| 276 |
+
|
| 277 |
+
with col_mid:
|
| 278 |
+
st.header("Garment Image")
|
| 279 |
+
upload_method = st.radio(
|
| 280 |
+
"Choose input method",
|
| 281 |
+
["Upload Image", "Generate Image"],
|
| 282 |
+
key="garment_method"
|
| 283 |
+
)
|
| 284 |
+
|
| 285 |
+
if upload_method == "Upload Image":
|
| 286 |
+
preview_container = st.empty()
|
| 287 |
+
|
| 288 |
+
garment_image = st.file_uploader(
|
| 289 |
+
"Upload garment image",
|
| 290 |
+
type=['png', 'jpg', 'jpeg'],
|
| 291 |
+
key="garment_upload",
|
| 292 |
+
help="Upload a clear photo of the garment on plain background"
|
| 293 |
+
)
|
| 294 |
+
|
| 295 |
+
if garment_image is not None:
|
| 296 |
+
img = Image.open(garment_image)
|
| 297 |
+
|
| 298 |
+
with st.expander("Image Settings"):
|
| 299 |
+
resize = st.checkbox("Resize Image", value=True, key="garment_resize")
|
| 300 |
+
if resize:
|
| 301 |
+
max_size = st.slider("Max Image Size", 256, 1024, 512, key="garment_size")
|
| 302 |
+
aspect = float(img.size[0]) / float(img.size[1])
|
| 303 |
+
if aspect > 1:
|
| 304 |
+
new_size = (max_size, int(max_size / aspect))
|
| 305 |
+
else:
|
| 306 |
+
new_size = (int(max_size * aspect), max_size)
|
| 307 |
+
img = img.resize(new_size, Image.Resampling.LANCZOS)
|
| 308 |
+
|
| 309 |
+
preview_container.image(img, caption="Uploaded Garment Image", use_column_width=True)
|
| 310 |
+
st.session_state.garment_img = img
|
| 311 |
+
else:
|
| 312 |
+
prompt = st.text_area(
|
| 313 |
+
"Generation Prompt",
|
| 314 |
+
value=EXAMPLE_PROMPTS[0],
|
| 315 |
+
height=100
|
| 316 |
+
)
|
| 317 |
+
|
| 318 |
+
with st.expander("Generation Settings"):
|
| 319 |
+
num_steps = st.slider("Steps", 20, 50, DEFAULT_NUM_STEPS, key="garment_steps")
|
| 320 |
+
guidance = st.slider("Guidance Scale", 1.0, 20.0, DEFAULT_GUIDANCE_SCALE, key="garment_guidance")
|
| 321 |
+
aspect = st.radio(
|
| 322 |
+
"Aspect Ratio",
|
| 323 |
+
["1:1", "16:9", "3:2"],
|
| 324 |
+
key="garment_aspect"
|
| 325 |
+
)
|
| 326 |
+
|
| 327 |
+
if st.button("Generate Garment Image"):
|
| 328 |
+
with st.spinner("Generating image..."):
|
| 329 |
+
result_image, status = generate_image(
|
| 330 |
+
prompt,
|
| 331 |
+
num_steps=num_steps,
|
| 332 |
+
guidance_scale=guidance,
|
| 333 |
+
aspect_ratio=aspect,
|
| 334 |
+
replicate_api_key=replicate_api,
|
| 335 |
+
lora_url=custom_lora if use_lora else None
|
| 336 |
+
)
|
| 337 |
+
|
| 338 |
+
if result_image:
|
| 339 |
+
st.session_state.garment_img = result_image
|
| 340 |
+
st.image(result_image, caption="Generated Garment Image")
|
| 341 |
+
else:
|
| 342 |
+
st.error(status)
|
| 343 |
+
|
| 344 |
+
with col_right:
|
| 345 |
+
st.header("Virtual Try-On Result")
|
| 346 |
+
|
| 347 |
+
# Try-on button and result display
|
| 348 |
+
if st.button("Generate Try-On", type="primary"):
|
| 349 |
+
if not hasattr(st.session_state, 'person_img'):
|
| 350 |
+
st.error("Please provide a person image first!")
|
| 351 |
+
elif not hasattr(st.session_state, 'garment_img'):
|
| 352 |
+
st.error("Please provide a garment image first!")
|
| 353 |
+
elif not kling_access_key or not kling_secret_key:
|
| 354 |
+
st.error("Please provide both Kling Access Key and Secret Key!")
|
| 355 |
+
else:
|
| 356 |
+
with st.spinner("Generating try-on image..."):
|
| 357 |
+
result_image, status = apply_virtual_tryon(
|
| 358 |
+
st.session_state.person_img,
|
| 359 |
+
st.session_state.garment_img,
|
| 360 |
+
kling_access_key,
|
| 361 |
+
kling_secret_key
|
| 362 |
+
)
|
| 363 |
+
|
| 364 |
+
if result_image:
|
| 365 |
+
st.session_state.result_image = result_image
|
| 366 |
+
st.success("Try-on completed successfully!")
|
| 367 |
+
|
| 368 |
+
# Add download button for the result
|
| 369 |
+
buf = io.BytesIO()
|
| 370 |
+
result_image.save(buf, format="PNG")
|
| 371 |
+
st.download_button(
|
| 372 |
+
label="Download Result",
|
| 373 |
+
data=buf.getvalue(),
|
| 374 |
+
file_name="tryon_result.png",
|
| 375 |
+
mime="image/png"
|
| 376 |
+
)
|
| 377 |
+
else:
|
| 378 |
+
st.error(status)
|
| 379 |
+
|
| 380 |
+
# Result display area
|
| 381 |
+
if 'result_image' in st.session_state:
|
| 382 |
+
st.image(
|
| 383 |
+
st.session_state.result_image,
|
| 384 |
+
caption="Try-on Result",
|
| 385 |
+
use_container_width=True
|
| 386 |
+
)
|
| 387 |
+
|
| 388 |
+
if __name__ == "__main__":
|
| 389 |
+
main()
|