Spaces:
Runtime error
Runtime error
File size: 18,340 Bytes
0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d 78acc58 0c7479d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 |
# Edit Anything trained with Stable Diffusion + ControlNet + SAM + BLIP2
import gradio as gr
import numpy as np
import cv2
from cv2 import imencode
import base64
def create_demo_template(
process,
process_image_click=None,
examples=None,
INFO="EditAnything https://github.com/sail-sg/EditAnything",
WARNING_INFO=None,
enable_auto_prompt_default=False,
):
print("The GUI is not fully tested yet. Please open an issue if you find bugs.")
block = gr.Blocks()
with block as demo:
clicked_points = gr.State([])
origin_image = gr.State(None)
click_mask = gr.State(None)
ref_clicked_points = gr.State([])
ref_origin_image = gr.State(None)
ref_click_mask = gr.State(None)
with gr.Row():
gr.Markdown(INFO)
with gr.Row(equal_height=False):
with gr.Column():
with gr.Tab("Click🖱"):
source_image_click = gr.Image(
type="pil",
interactive=True,
label="Image: Upload an image and click the region you want to edit.",
)
with gr.Column():
with gr.Row():
point_prompt = gr.Radio(
choices=["Foreground Point",
"Background Point"],
value="Foreground Point",
label="Point Label",
interactive=True,
show_label=False,
)
with gr.Row():
clear_button_click = gr.Button(
value="Clear Points", interactive=True
)
clear_button_image = gr.Button(
value="Reset Image", interactive=True
)
with gr.Row():
run_button_click = gr.Button(
label="Run EditAnying", interactive=True
)
with gr.Tab("Brush🖌️"):
source_image_brush = gr.Image(
source="upload",
label="Image: Upload an image and cover the region you want to edit with sketch",
type="numpy",
tool="sketch",
brush_color="#00FFBF"
)
run_button = gr.Button(
label="Run EditAnying", interactive=True)
with gr.Tab("All region"):
source_image_clean = gr.Image(
source="upload",
label="Image: Upload an image",
type="numpy",
)
run_button_allregion = gr.Button(
label="Run EditAnying", interactive=True)
with gr.Row():
# enable_all_generate = gr.Checkbox(
# label="All Region Generation", value=False
# )
control_scale = gr.Slider(
label="SAM Mask Alignment Strength",
# info="Large value -> strict alignment with SAM mask",
minimum=0,
maximum=1,
value=0.5,
step=0.1,
)
with gr.Row():
num_samples = gr.Slider(
label="Images", minimum=1, maximum=12, value=2, step=1
)
seed = gr.Slider(
label="Seed",
minimum=-1,
maximum=2147483647,
step=1,
randomize=True,
)
with gr.Column():
with gr.Row():
enable_auto_prompt = gr.Checkbox(
label="Prompt Auto Generation (Enable this may makes your prompt not working)",
# info="",
value=enable_auto_prompt_default,
)
with gr.Row():
a_prompt = gr.Textbox(
label="Positive Prompt",
info="Text in the expected things of edited region",
value="best quality, extremely detailed,",
)
n_prompt = gr.Textbox(
label="Negative Prompt",
value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, NSFW",
)
with gr.Row():
enable_tile = gr.Checkbox(
label="High-resolution Refinement",
info="Slow inference",
value=True,
)
refine_alignment_ratio = gr.Slider(
label="Similarity with Initial Results",
# info="Large value -> strict alignment with input image. Small value -> strong global consistency",
minimum=0.0,
maximum=1.0,
value=0.95,
step=0.05,
)
with gr.Accordion("Cross-image Drag Options", open=False):
# ref_image = gr.Image(
# source='upload', label="Upload a reference image", type="pil", value=None)
ref_image = gr.Image(
source="upload",
label="Upload a reference image and cover the region you want to use with sketch",
type="pil",
tool="sketch",
brush_color="#00FFBF",
)
with gr.Row():
ref_auto_prompt = gr.Checkbox(
label="Ref. Auto Prompt", value=True
)
ref_prompt = gr.Textbox(
label="Prompt",
info="Text in the prompt of edited region",
value="best quality, extremely detailed, ",
)
# ref_image = gr.Image(
# type="pil", interactive=True,
# label="Image: Upload an image and click the region you want to use as reference.",
# )
# with gr.Column():
# with gr.Row():
# ref_point_prompt = gr.Radio(
# choices=["Foreground Point", "Background Point"],
# value="Foreground Point",
# label="Point Label",
# interactive=True, show_label=False)
# ref_clear_button_click = gr.Button(
# value="Clear Click Points", interactive=True)
# ref_clear_button_image = gr.Button(
# value="Clear Image", interactive=True)
with gr.Row():
reference_attn = gr.Checkbox(
label="reference_attn", value=True)
reference_adain = gr.Checkbox(
label="reference_adain", value=True
)
with gr.Row():
ref_sam_scale = gr.Slider(
label="Pos Control Scale",
minimum=0,
maximum=1.0,
value=0.3,
step=0.1,
)
ref_inpaint_scale = gr.Slider(
label="Content Control Scale",
minimum=0,
maximum=1.0,
value=0.2,
step=0.1,
)
with gr.Row():
ref_textinv = gr.Checkbox(
label="Use textual inversion token", value=False
)
ref_textinv_path = gr.Textbox(
label="textual inversion token path",
info="Text in the inversion token path",
value=None,
)
with gr.Accordion("Advanced options", open=False):
style_fidelity = gr.Slider(
label="Style fidelity",
minimum=0,
maximum=1.,
value=0.,
step=0.1,
)
attention_auto_machine_weight = gr.Slider(
label="Attention Reference Weight",
minimum=0,
maximum=1.0,
value=1.0,
step=0.01,
)
gn_auto_machine_weight = gr.Slider(
label="GroupNorm Reference Weight",
minimum=0,
maximum=1.0,
value=1.0,
step=0.01,
)
ref_scale = gr.Slider(
label="Frequency Reference Guidance Scale",
minimum=0,
maximum=1.0,
value=0.0,
step=0.1,
)
with gr.Accordion("Advanced Options", open=False):
mask_image = gr.Image(
source="upload",
label="Upload a predefined mask of edit region: Switch to Brush mode when using this!",
type="numpy",
value=None,
)
image_resolution = gr.Slider(
label="Image Resolution",
minimum=256,
maximum=768,
value=512,
step=64,
)
refine_image_resolution = gr.Slider(
label="Image Resolution",
minimum=256,
maximum=8192,
value=1024,
step=64,
)
guess_mode = gr.Checkbox(label="Guess Mode", value=False)
detect_resolution = gr.Slider(
label="SAM Resolution",
minimum=128,
maximum=2048,
value=1024,
step=1,
)
ddim_steps = gr.Slider(
label="Steps", minimum=1, maximum=100, value=30, step=1
)
scale = gr.Slider(
label="Guidance Scale", minimum=0.1, maximum=30.0, value=9.0, step=0.1)
alpha_weight = gr.Slider(
label="Alpha weight", info="Alpha mixing with original image", minimum=0,
maximum=1, value=0.0, step=0.1)
use_scale_map = gr.Checkbox(
label='Use scale map', value=False)
eta = gr.Number(label="eta (DDIM)", value=0.0)
condition_model = gr.Textbox(
label="Condition model path",
info="Text in the Controlnet model path in hugglingface",
value="EditAnything",
)
with gr.Column():
result_gallery_refine = gr.Gallery(
label="Output High quality", show_label=True, elem_id="gallery", preview=False)
result_gallery_init = gr.Gallery(
label="Output Low quality", show_label=True, elem_id="gallery", height="auto")
result_gallery_ref = gr.Gallery(
label="Output Ref", show_label=False, elem_id="gallery", height="auto")
result_text = gr.Text(label="ALL Prompt Text")
ips = [
source_image_brush,
gr.State(False), # enable_all_generate
mask_image,
control_scale,
enable_auto_prompt,
a_prompt,
n_prompt,
num_samples,
image_resolution,
detect_resolution,
ddim_steps,
guess_mode,
scale,
seed,
eta,
enable_tile,
refine_alignment_ratio,
refine_image_resolution,
alpha_weight,
use_scale_map,
condition_model,
ref_image,
attention_auto_machine_weight,
gn_auto_machine_weight,
style_fidelity,
reference_attn,
reference_adain,
ref_prompt,
ref_sam_scale,
ref_inpaint_scale,
ref_auto_prompt,
ref_textinv,
ref_textinv_path,
ref_scale,
]
run_button.click(
fn=process,
inputs=ips,
outputs=[
result_gallery_refine,
result_gallery_init,
result_gallery_ref,
result_text,
],
)
ips_allregion = [
source_image_clean,
gr.State(True), # enable_all_generate
mask_image,
control_scale,
enable_auto_prompt,
a_prompt,
n_prompt,
num_samples,
image_resolution,
detect_resolution,
ddim_steps,
guess_mode,
scale,
seed,
eta,
enable_tile,
refine_alignment_ratio,
refine_image_resolution,
alpha_weight,
use_scale_map,
condition_model,
ref_image,
attention_auto_machine_weight,
gn_auto_machine_weight,
style_fidelity,
reference_attn,
reference_adain,
ref_prompt,
ref_sam_scale,
ref_inpaint_scale,
ref_auto_prompt,
ref_textinv,
ref_textinv_path,
ref_scale,
]
run_button_allregion.click(
fn=process,
inputs=ips_allregion,
outputs=[
result_gallery_refine,
result_gallery_init,
result_gallery_ref,
result_text,
],
)
ip_click = [
origin_image,
gr.State(False), # enable_all_generate
click_mask,
control_scale,
enable_auto_prompt,
a_prompt,
n_prompt,
num_samples,
image_resolution,
detect_resolution,
ddim_steps,
guess_mode,
scale,
seed,
eta,
enable_tile,
refine_alignment_ratio,
refine_image_resolution,
alpha_weight,
use_scale_map,
condition_model,
ref_image,
attention_auto_machine_weight,
gn_auto_machine_weight,
style_fidelity,
reference_attn,
reference_adain,
ref_prompt,
ref_sam_scale,
ref_inpaint_scale,
ref_auto_prompt,
ref_textinv,
ref_textinv_path,
ref_scale,
]
run_button_click.click(
fn=process,
inputs=ip_click,
outputs=[
result_gallery_refine,
result_gallery_init,
result_gallery_ref,
result_text,
],
)
source_image_click.upload(
lambda image: image.copy() if image is not None else None,
inputs=[source_image_click],
outputs=[origin_image],
)
source_image_click.select(
process_image_click,
inputs=[origin_image, point_prompt,
clicked_points, image_resolution],
outputs=[source_image_click, clicked_points, click_mask],
show_progress=True,
queue=True,
)
clear_button_click.click(
fn=lambda original_image: (original_image.copy(), [], None)
if original_image is not None
else (None, [], None),
inputs=[origin_image],
outputs=[source_image_click, clicked_points, click_mask],
)
clear_button_image.click(
fn=lambda: (None, [], None, None, None),
inputs=[],
outputs=[
source_image_click,
clicked_points,
click_mask,
result_gallery_init,
result_text,
],
)
if examples is not None:
with gr.Row():
ex = gr.Examples(
examples=examples,
fn=process,
inputs=[a_prompt, n_prompt, scale],
outputs=[result_gallery_init],
cache_examples=False,
)
if WARNING_INFO is not None:
with gr.Row():
gr.Markdown(WARNING_INFO)
return demo
|