File size: 51,442 Bytes
7344bef | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 | import gradio as gr
from shared.utils.plugins import WAN2GPPlugin
import json
from shared.deepy.engine import get_or_create_assistant_session
from shared.gradio import assistant_chat, gradio_queue_focus_patch
from shared.gradio.hierarchy_selector import HierarchySelector
from shared.utils import prompt_parser
from shared.gradio.model_selector_toolbar import unload_models_from_ram
from shared.utils.video_codecs import SDR_VIDEO_CODEC_CHOICES, VIDEO_CONTAINER_CHOICES, validate_video_output_settings
from shared.deepy.config import (
DEEPY_CONTEXT_TOKENS_MIN,
DEEPY_CONTEXT_TOKENS_DEFAULT,
DEEPY_CONTEXT_TOKENS_KEY,
DEEPY_CUSTOM_SYSTEM_PROMPT_KEY,
DEEPY_ENABLED_KEY,
DEEPY_VRAM_MODE_KEY,
DEEPY_VRAM_MODE_ALWAYS_LOADED,
DEEPY_VRAM_MODE_UNLOAD,
DEEPY_VRAM_MODE_UNLOAD_ON_REQUEST,
deepy_available,
format_deepy_context_tokens_label,
deepy_requirement_message,
normalize_deepy_context_tokens,
normalize_deepy_custom_system_prompt,
normalize_deepy_enabled,
normalize_deepy_vram_mode,
set_deepy_runtime_config,
)
from postprocessing.flashvsr.sparse_backend_config import (
SPARSE_BACKEND_AUTO,
SPARSE_BACKEND_CHOICES,
normalize_sparse_backend,
)
from postprocessing.seedvc.wgp_bridge import SeedVCBridge
from .defaults_migration import (
FLASHVSR_DEFAULT_MODE,
FLASHVSR_MODE_CHOICES,
MMAUDIO_DEFAULT_MODE,
MMAUDIO_MODE_CHOICES,
PROMPT_ENHANCER_CHOICES,
SEEDVC_DEFAULT_MODE,
SEEDVC_MODE_CHOICES,
enabled_choice_value,
get_prompt_enhancer_default_mode,
migrate_extension_defaults,
)
def flashvsr_sparse_attention_requirement_message(backend="auto"):
try:
from postprocessing.flashvsr.attention_backend import sparse_attention_requirement_message
return sparse_attention_requirement_message(backend)
except Exception as exc:
return f"FlashVSR sparse attention dependency check failed: {type(exc).__name__}: {exc}"
class ConfigTabPlugin(WAN2GPPlugin):
def __init__(self):
super().__init__()
self.name = "Configuration Tab"
self.version = "1.1.3"
self.description = "Lets you adjust all your performance and UI options for WAN2GP"
def setup_ui(self):
self.request_global("args")
self.request_global("server_config")
self.request_global("server_config_filename")
self.request_global("attention_mode")
self.request_global("compile")
self.request_global("default_profile_video")
self.request_global("default_profile_image")
self.request_global("default_profile_audio")
self.request_global("vae_config")
self.request_global("boost")
self.request_global("enable_int8_kernels")
self.request_global("preload_model_policy")
self.request_global("transformer_quantization")
self.request_global("transformer_dtype_policy")
self.request_global("transformer_types")
self.request_global("text_encoder_quantization")
self.request_global("attention_modes_installed")
self.request_global("attention_modes_supported")
self.request_global("displayed_model_types")
self.request_global("memory_profile_choices")
self.request_global("attention_modes_choices")
self.request_global("save_path")
self.request_global("image_save_path")
self.request_global("audio_save_path")
self.request_global("quit_application")
self.request_global("release_model")
self.request_global("release_flashvsr_vram")
self.request_global("release_seedvc_vram")
self.request_global("app")
self.request_global("fl")
self.request_global("is_generation_in_progress")
self.request_global("generate_header")
self.request_global("generate_dropdown_model_list")
self.request_global("create_models_selector_hierarchy")
self.request_global("get_unique_id")
self.request_global("reset_prompt_enhancer")
self.request_global("reset_prompt_enhancer_if_requested")
self.request_global("release_deepy_vram")
self.request_global("any_GPU_process_running")
self.request_global("apply_int8_kernel_setting")
self.request_component("model_description")
self.request_component("header")
self.request_component("model_family")
self.request_component("model_base_type_choice")
self.request_component("model_choice")
self.request_component("refresh_form_trigger")
self.request_component("state")
self.request_component("resolution")
self.request_component("assistant_launcher_host")
self.request_component("assistant_panel")
self.add_tab(
tab_id="configuration",
label="Configuration",
component_constructor=self.create_config_ui,
)
def create_config_ui(self):
migrate_extension_defaults(self.server_config, self.server_config_filename)
set_deepy_runtime_config(self.server_config, self.server_config_filename)
prompt_enhancer_default_mode = get_prompt_enhancer_default_mode()
with gr.Column():
with gr.Tabs():
with gr.Tab("General"):
self.transformer_types_choices = HierarchySelector(
hierarchy=self.create_models_selector_hierarchy(self.displayed_model_types),
value=self.transformer_types,
height=0,
label="Selectable Generative Models (leave empty for all)",
display_mode="breadcrumb",
sort_hierarchy=False,
search_empty_label="No matching models",
interactive=not self.args.lock_config,
)
self.model_hierarchy_type_choice = gr.Dropdown(
choices=[
("Two Levels: Model Family > Models & Finetunes", 0),
("Three Levels: Model Family > Models > Finetunes", 1),
],
value=self.server_config.get("model_hierarchy_type", 1),
label="Models Hierarchy In User Interface",
interactive=not self.args.lock_config
)
self.fit_canvas_choice = gr.Dropdown(
choices=[
("Dimensions are Pixel Budget (preserves aspect ratio, may exceed dimensions)", 0),
("Dimensions are Max Width/Height (preserves aspect ratio, fits within box)", 1),
("Dimensions are Exact Output (crops input to fit exact dimensions)", 2),
],
value=self.server_config.get("fit_canvas", 0),
label="Input Image/Video Sizing Behavior",
interactive=not self.args.lock_config
)
self.attention_choice = gr.Dropdown(
choices=self.attention_modes_choices,
value=self.attention_mode, label="Attention Type", interactive=not self.args.lock_config
)
self.preload_model_policy_choice = gr.CheckboxGroup(
[("Preload Model on App Launch","P"), ("Preload Model on Switch", "S"), ("Unload Model when Queue is Done", "U")],
value=self.preload_model_policy, label="Model Loading/Unloading Policy"
)
self.clear_file_list_choice = gr.Dropdown(
choices=[("None", 0), ("Keep last video", 1), ("Keep last 5 videos", 5), ("Keep last 10", 10), ("Keep last 20", 20), ("Keep last 30", 30)],
value=self.server_config.get("clear_file_list", 5), label="Keep Previous Generations in Gallery"
)
self.multi_prompts_gen_type_choice = gr.Dropdown(
choices=prompt_parser.get_multi_prompts_gen_choices("Video"),
value=prompt_parser.normalize_multi_prompts_mode(self.server_config.get("multi_prompts_gen_type", prompt_parser.DEFAULT_MULTI_PROMPTS_MODE), default=prompt_parser.DEFAULT_MULTI_PROMPTS_MODE),
label="How to Process each Line of the Text Prompt (First Time Model SDefault)",
)
self.display_stats_choice = gr.Dropdown(
choices=[("Disabled", 0), ("Enabled", 1)],
value=self.server_config.get("display_stats", 0), label="Display real-time RAM/VRAM stats (requires restart)"
)
self.max_frames_multiplier_choice = gr.Dropdown(
choices=[("Default", 1), ("x2", 2), ("x3", 3), ("x4", 4), ("x5", 5), ("x6", 6), ("x7", 7)],
value=self.server_config.get("max_frames_multiplier", 1), label="Max Frames / Duration Multiplier (requires restart)"
)
self.enable_4k_resolutions_choice = gr.Dropdown(
choices=[("Off", 0), ("On", 1)],
value=self.server_config.get("enable_4k_resolutions", 0),
label="3K/4K Resolutions"
)
default_paths = self.fl.default_checkpoints_paths
checkpoints_paths_text = "\n".join(self.server_config.get("checkpoints_paths", default_paths))
self.checkpoints_paths_choice = gr.Textbox(
label="Model Checkpoint Folders (One Path per Line. First is Default Download Path)",
value=checkpoints_paths_text,
lines=3,
interactive=not self.args.lock_config
)
self.loras_root_choice = gr.Textbox(
label="Loras Root Folder",
value=self.server_config.get("loras_root", "loras"),
interactive=not self.args.lock_config
)
self.save_queue_if_crash_choice = gr.Dropdown(
choices=[("Disabled", 0), ("Overwrite Last Error Queue", 1), ("Create a New Error Queue File", 2)],
value=self.server_config.get("save_queue_if_crash", 1),
label="Save Queue if Crash during Generation",
interactive=not self.args.lock_config
)
self.UI_theme_choice = gr.Dropdown(
choices=[("Blue Sky (Default)", "default"), ("Classic Gradio", "gradio")],
value=self.server_config.get("UI_theme", "default"), label="UI Theme (requires restart)"
)
self.queue_color_scheme_choice = gr.Dropdown(
choices=[
("Pastel (Unique color for each item)", "pastel"),
("Alternating Grey Shades", "alternating_grey"),
],
value=self.server_config.get("queue_color_scheme", "pastel"),
label="Queue Color Scheme"
)
self.process_queues_when_browser_unfocused_choice = gr.Dropdown(
choices=[("Yes", 1), ("No", 0)],
value=self.server_config.get(gradio_queue_focus_patch.FOCUS_QUEUE_SERVER_CONFIG_KEY, 1),
label="Process Queues when Browser is not in focus (may drain more energy)",
interactive=not self.args.lock_config
)
with gr.Tab("Performance"):
self.quantization_choice = gr.Dropdown(choices=[("Scaled Int8 (recommended)", "int8"), ("Scaled Fp8", "fp8"), ("16-bit (no quantization)", "bf16")], value=self.transformer_quantization, label="Transformer Model Quantization (if available otherwise get the closest available)")
self.transformer_dtype_policy_choice = gr.Dropdown(choices=[("Auto (Best for Hardware)", ""), ("FP16", "fp16"), ("BF16", "bf16")], value=self.transformer_dtype_policy, label="Transformer Data Type (if available)")
self.mixed_precision_choice = gr.Dropdown(choices=[("16-bit only (less VRAM)", "0"), ("Mixed 16/32-bit (better quality)", "1")], value=self.server_config.get("mixed_precision", "0"), label="Transformer Engine Precision")
self.text_encoder_quantization_choice = gr.Dropdown(choices=[("16-bit (more RAM, better quality)", "bf16"), ("8-bit (less RAM, slightly lower quality)", "int8")], value=self.text_encoder_quantization, label="Text Encoder Quantization")
self.lm_decoder_engine_choice = gr.Dropdown(
choices=[
("Auto", ""),
("PyTorch: slow, compatible", "legacy"),
("Cuda Graph: up to x6 faster, whole LM will be loaded in VRAM", "cg"),
("vllm: up to x10 faster, whole LM will be loaded in VRAM, requires Triton & Flash Attention 2", "vllm"),
],
value=self.server_config.get("lm_decoder_engine", ""),
label="Language Models Decoder Engine (when available for a model)",
)
self.VAE_precision_choice = gr.Dropdown(choices=[("16-bit (faster, less VRAM)", "16"), ("32-bit (slower, better for sliding window)", "32")], value=self.server_config.get("vae_precision", "16"), label="VAE Encoding/Decoding Precision")
self.compile_choice = gr.Dropdown(choices=[("On (up to 20% faster, requires Triton)", "transformer"), ("Off", "")], value=self.compile, label="Compile Transformer Model (slight speed again, but first generation is slower and potential compatibility issues with some GPUs/Models)", interactive=not self.args.lock_config)
vae_config_value = self.vae_config if self.vae_config in [0, 1, 2, 3] else 0
self.vae_config_choice = gr.Dropdown(
choices=[
("Auto", 0),
("Spatial / Temporal Tiling Preset for 16GB+", 1),
("Spatial / Temporal Tiling Preset for 8GB+", 2),
("Spatial / Temporal Tiling Preset for 6GB+", 3),
],
value=vae_config_value,
label="VAE Tiling (higher presets use less VRAM and may increase artifacts like banding)",
)
self.boost_choice = gr.Dropdown(choices=[("ON", 1), ("OFF", 2)], value=self.boost, label="Boost (~10% speedup for ~1GB VRAM)")
self.enable_int8_kernels_choice = gr.Dropdown(choices=[("Disabled", 0), ("Enabled if Triton available", 1)], value=self.server_config.get("enable_int8_kernels", 1), label="Int8 Kernels (Experimental, 10% faster with INT8 quantized checkpoints, requires Triton)")
self.video_profile_choice = gr.Dropdown(
choices=self.memory_profile_choices,
value=self.default_profile_video,
label="Default Memory Profile (Video)",
)
self.image_profile_choice = gr.Dropdown(
choices=self.memory_profile_choices,
value=self.default_profile_image,
label="Default Memory Profile (Image)",
)
self.audio_profile_choice = gr.Dropdown(
choices=self.memory_profile_choices,
value=self.default_profile_audio,
label="Default Memory Profile (Audio)",
)
self.preload_in_VRAM_choice = gr.Slider(0, 40000, value=self.server_config.get("preload_in_VRAM", 0), step=100, label="VRAM (MB) for Preloaded Models (0=profile default)")
self.max_reserved_loras_choice = gr.Slider(
-1,
10000,
value=self.server_config.get("max_reserved_loras", -1),
step=1,
label="Max Amount of Loras (in MB) to be Pinned To Reserved Memory (set it to 0-500MB if Out of Memory when starting Gen, -1= No limit)"
)
self.release_RAM_btn = gr.Button("Force Unload Models from RAM")
with gr.Tab("Extensions"):
with gr.Row():
mmaudio_mode_default = self.server_config.get("mmaudio_mode", None)
mmaudio_persistence_default = self.server_config.get("mmaudio_persistence", None)
if mmaudio_mode_default is None:
mmaudio_mode_default = MMAUDIO_DEFAULT_MODE
if mmaudio_persistence_default is None:
legacy_mmaudio = self.server_config.get("mmaudio_enabled", 0)
mmaudio_persistence_default = 2 if legacy_mmaudio == 2 else 1
self.mmaudio_mode_choice = gr.Dropdown(
choices=MMAUDIO_MODE_CHOICES,
value=enabled_choice_value(mmaudio_mode_default, MMAUDIO_MODE_CHOICES, MMAUDIO_DEFAULT_MODE),
label="MMAudio Soundtrack Generation (requires 10GB extra download)"
)
self.mmaudio_persistence_choice = gr.Dropdown(
choices=[("Unload after use", 1), ("Persistent in RAM", 2)],
value=mmaudio_persistence_default,
label="MMAudio Model Persistence"
)
with gr.Row():
self.seedvc_mode_choice = gr.Dropdown(
choices=SEEDVC_MODE_CHOICES,
value=enabled_choice_value(self.server_config.get("seedvc_mode", SEEDVC_DEFAULT_MODE), SEEDVC_MODE_CHOICES, SEEDVC_DEFAULT_MODE),
label="SeedVC Voice Replacement"
)
self.seedvc_persistence_choice = gr.Dropdown(
choices=SeedVCBridge.persistence_choices(),
value=self.server_config.get("seedvc_persistence", SeedVCBridge.PERSIST_UNLOAD),
label="SeedVC Model Persistence"
)
with gr.Group():
with gr.Row():
self.flashvsr_mode_choice = gr.Dropdown(
choices=FLASHVSR_MODE_CHOICES,
value=enabled_choice_value(self.server_config.get("flashvsr_mode", FLASHVSR_DEFAULT_MODE), FLASHVSR_MODE_CHOICES, FLASHVSR_DEFAULT_MODE),
label="FlashVSR Spatial Upsampling (Needs Triton; SpargeAttn optional)"
)
self.flashvsr_persistence_choice = gr.Dropdown(
choices=[("Unload after use", 1), ("Persistent in RAM", 2)],
value=self.server_config.get("flashvsr_persistence", 1),
label="FlashVSR Model Persistence"
)
with gr.Row():
self.flashvsr_backend_choice = gr.Dropdown(
choices=SPARSE_BACKEND_CHOICES,
value=normalize_sparse_backend(self.server_config.get("flashvsr_backend", SPARSE_BACKEND_AUTO)),
label="Backend"
)
self.flashvsr_topk_ratio_choice = gr.Slider(
0.0,
4.0,
value=self.server_config.get("flashvsr_topk_ratio", 0.0),
step=0.05,
label="FlashVSR Quality / Sparse Top-K Ratio (0 = Auto)",
info="Higher keeps more sparse attention candidates and can improve quality at the cost of speed and memory."
)
with gr.Group():
self.rife_version_choice = gr.Dropdown(
choices=[("RIFE HDv3 (default)", "v3"), ("RIFE v4.26 (latest)", "v4")],
value=self.server_config.get("rife_version", "v4"),
label="RIFE Temporal Upsampling Model",
interactive=not self.args.lock_config
)
with gr.Group():
self.matanyone_version_choice = gr.Dropdown(
choices=[("MatAnyone v1 (original, default)", "v1"), ("MatAnyone v2", "v2"), ("SAM3 (no Alpha / Grey level support but better Temporal Stability & Auto Mask Selection by Keyword)", "sam3")],
value=self.server_config.get("matanyone_version", "v1"),
label="Video Mask Model",
interactive=not self.args.lock_config
)
with gr.Group():
self.depth_anything_v2_variant_choice = gr.Dropdown(choices=[("Depth Anything 2 Large (more precise, slower)", "vitl"), ("Depth Anything 2 Big (less precise, faster)", "vitb"), ("Depth Anything 3 Metric Large (better temporal stability ?)", "da3_metric_large")], value=self.server_config.get("depth_anything_v2_variant", "vitl"), label="Depth Anything Preprocessor")
with gr.Tab("Prompt Enhancer / Deepy"):
with gr.Group():
self.enhancer_enabled_choice = gr.Dropdown(
choices=PROMPT_ENHANCER_CHOICES,
value=enabled_choice_value(self.server_config.get("enhancer_enabled", prompt_enhancer_default_mode), PROMPT_ENHANCER_CHOICES, prompt_enhancer_default_mode),
label="Prompt Enhancer (requires extra model files)"
)
self.enhancer_quantization_choice = gr.Dropdown(
choices=[("Quanto Int8 (recommended, better quality)", "quanto_int8"), ("GGUF Q4 (less VRAM/RAM & faster if kernels are installed, but worse quality)", "gguf")],
value=self.server_config.get("prompt_enhancer_quantization", "quanto_int8"),
label="Qwen3.5 LLM Quantization",
)
self.enhancer_mode_choice = gr.Dropdown(choices=[("On-Demand Button Only", 1),("Automatic on Generation", 0)], value=self.server_config.get("enhancer_mode", 1), label="Prompt Enhancer Usage")
with gr.Row():
self.prompt_enhancer_temperature_choice = gr.Slider(
0.1,
1.5,
value=self.server_config.get("prompt_enhancer_temperature", 0.6),
step=0.01,
label="Prompt Enhancer Temperature (High = More Creativity)",
interactive=not self.args.lock_config,
)
self.prompt_enhancer_top_p_choice = gr.Slider(
0.1,
1.0,
value=self.server_config.get("prompt_enhancer_top_p", 0.9),
step=0.01,
label="Prompt Enhancer Top-p (High = More Variety)",
interactive=not self.args.lock_config,
)
self.prompt_enhancer_randomize_seed_choice = gr.Checkbox(
value=self.server_config.get("prompt_enhancer_randomize_seed", True),
label="Randomize Prompt Enhancer Seed",
interactive=not self.args.lock_config,
)
self.deepy_enabled_choice = gr.Dropdown(
choices=[("Off", 0), ("On", 1)],
value=normalize_deepy_enabled(self.server_config.get(DEEPY_ENABLED_KEY, 0)),
label="Enable Deepy",
)
self.deepy_vram_mode_choice = gr.Dropdown(
choices=[
("Unload from VRAM as soon as possible", DEEPY_VRAM_MODE_UNLOAD),
("Unload from VRAM if VRAM requested by another WanGP component", DEEPY_VRAM_MODE_UNLOAD_ON_REQUEST),
("Always loaded in VRAM", DEEPY_VRAM_MODE_ALWAYS_LOADED),
],
value=normalize_deepy_vram_mode(self.server_config.get(DEEPY_VRAM_MODE_KEY, DEEPY_VRAM_MODE_UNLOAD)),
label="Deepy VRAM Loading Mode (the longer Deepy stays in VRAM, the faster Deeper is )",
)
deepy_context_tokens_default = normalize_deepy_context_tokens(self.server_config.get(DEEPY_CONTEXT_TOKENS_KEY, DEEPY_CONTEXT_TOKENS_DEFAULT))
self.deepy_context_tokens_choice = gr.Slider(
minimum=DEEPY_CONTEXT_TOKENS_MIN,
maximum=256000,
value=deepy_context_tokens_default,
step=512,
label=format_deepy_context_tokens_label(self.server_config.get("enhancer_enabled", 0), deepy_context_tokens_default),
)
self.deepy_custom_system_prompt_choice = gr.Textbox(
value=normalize_deepy_custom_system_prompt(self.server_config.get(DEEPY_CUSTOM_SYSTEM_PROMPT_KEY, "")),
lines=6,
label="Custom System Prompt",
info="Added after the built-in Deepy system prompt on the next user interaction.",
)
self.deepy_requirement_md = gr.Markdown(value=deepy_requirement_message(self.server_config))
with gr.Tab("Outputs"):
self.video_container_choice = gr.Dropdown(choices=VIDEO_CONTAINER_CHOICES, value=self.server_config.get("video_container", "mp4"), label="Video Container")
self.video_output_codec_choice = gr.Dropdown(choices=SDR_VIDEO_CODEC_CHOICES, value=self.server_config.get("video_output_codec", "libx264_8"), label="SDR Video Codec")
self.hdr_video_crf_choice = gr.Dropdown(
choices=[
("Low (x265 CRF 14)", 14),
("Medium (x265 CRF 8)", 8),
("High (x265 CRF 4)", 4),
],
value=self.server_config.get("hdr_video_crf", 8),
label="HDR Video Codec",
)
self.image_output_codec_choice = gr.Dropdown(choices=[("JPEG Q85", 'jpeg_85'), ("WEBP Q85", 'webp_85'), ("JPEG Q95", 'jpeg_95'), ("WEBP Q95", 'webp_95'), ("WEBP Lossless", 'webp_lossless'), ("PNG Lossless", 'png')], value=self.server_config.get("image_output_codec", "jpeg_95"), label="Image Codec")
self.audio_output_codec_choice = gr.Dropdown(
choices=[
("AAC 128 kbps", "aac_128"),
("AAC 192 kbps", "aac_192"),
("AAC 256 kbps (High Quality, Recommended)", "aac_256"),
("AAC 320 kbps (Very High Quality)", "aac_320"),
("ALAC Lossless (preview/playback compatibility may be limited)", "alac"),
],
value=self.server_config.get("audio_output_codec", "aac_128"),
visible=True,
label="Audio Codec to use for MP4/MOV/MKV container",
)
audio_standalone_default = self.server_config.get("audio_stand_alone_output_codec", "wav")
if audio_standalone_default == "mp3":
audio_standalone_default = "mp3_192"
self.audio_stand_alone_output_codec_choice = gr.Dropdown(
choices=[
("WAV (Lossless)", "wav"),
("MP3 128 kbps", "mp3_128"),
("MP3 192 kbps", "mp3_192"),
("MP3 320 kbps", "mp3_320"),
],
value=audio_standalone_default,
visible=True,
label="Audio Codec to use for standalone audio files",
)
self.metadata_choice = gr.Dropdown(
choices=[("Export JSON files", "json"), ("Embed metadata in file (Exif/tag)", "metadata"), ("None", "none")],
value=self.server_config.get("metadata_type", "metadata"), label="Metadata Handling"
)
self.keep_intermediate_sliding_windows_choice = gr.Dropdown(
choices=[("Yes", 1), ("No", 0)],
value=self.server_config.get("keep_intermediate_sliding_windows", 1),
label="Keep Intermediate Sliding Windows"
)
self.embed_source_images_choice = gr.Checkbox(
value=self.server_config.get("embed_source_images", False),
label="Embed Source Images",
info="Saves i2v source images inside MP4/MOV/MKV files"
)
self.video_save_path_choice = gr.Textbox(label="Video Output Folder (requires restart)", value=self.save_path)
self.image_save_path_choice = gr.Textbox(label="Image Output Folder (requires restart)", value=self.image_save_path)
self.audio_save_path_choice = gr.Textbox(label="Audio Output Folder (requires restart)", value=self.audio_save_path)
with gr.Tab("Notifications"):
self.notification_sound_enabled_choice = gr.Dropdown(choices=[("On", 1), ("Off", 0)], value=self.server_config.get("notification_sound_enabled", 0), label="Notification Sound")
self.notification_sound_volume_choice = gr.Slider(0, 100, value=self.server_config.get("notification_sound_volume", 50), step=5, label="Notification Volume")
self.msg = gr.Markdown()
with gr.Row():
self.apply_btn = gr.Button("Save Settings")
def update_deepy_requirement(enhancer_enabled_choice):
runtime_config = dict(self.server_config)
runtime_config["enhancer_enabled"] = enhancer_enabled_choice
return deepy_requirement_message(runtime_config)
self.enhancer_enabled_choice.input(fn=update_deepy_requirement, inputs=[self.enhancer_enabled_choice], outputs=[self.deepy_requirement_md], show_progress="hidden")
def update_deepy_context_label(enhancer_enabled_choice, deepy_context_tokens_choice):
return gr.update(label=format_deepy_context_tokens_label(enhancer_enabled_choice, deepy_context_tokens_choice))
self.enhancer_enabled_choice.input(fn=update_deepy_context_label, inputs=[self.enhancer_enabled_choice, self.deepy_context_tokens_choice], outputs=[self.deepy_context_tokens_choice], show_progress="hidden")
self.deepy_context_tokens_choice.input(fn=update_deepy_context_label, inputs=[self.enhancer_enabled_choice, self.deepy_context_tokens_choice], outputs=[self.deepy_context_tokens_choice], show_progress="hidden")
self.process_queues_when_browser_unfocused_choice.change(
fn=None,
inputs=[self.process_queues_when_browser_unfocused_choice],
js="""
(enabled) => {
if (window.__gradioFocusQueuePatch) {
window.__gradioFocusQueuePatch.enableBackgroundScheduler = Number(enabled) !== 0;
}
}
""",
queue=False,
show_progress="hidden",
)
inputs = [
self.state,
self.transformer_types_choices, self.model_hierarchy_type_choice, self.fit_canvas_choice,
self.attention_choice, self.preload_model_policy_choice, self.clear_file_list_choice, self.multi_prompts_gen_type_choice, self.keep_intermediate_sliding_windows_choice,
self.display_stats_choice, self.max_frames_multiplier_choice, self.enable_4k_resolutions_choice, self.checkpoints_paths_choice, self.loras_root_choice, self.save_queue_if_crash_choice,
self.UI_theme_choice, self.queue_color_scheme_choice, self.process_queues_when_browser_unfocused_choice,
self.quantization_choice, self.transformer_dtype_policy_choice, self.mixed_precision_choice,
self.text_encoder_quantization_choice, self.lm_decoder_engine_choice, self.VAE_precision_choice, self.compile_choice,
self.depth_anything_v2_variant_choice,
self.vae_config_choice, self.boost_choice, self.enable_int8_kernels_choice,
self.video_profile_choice, self.image_profile_choice, self.audio_profile_choice,
self.preload_in_VRAM_choice, self.max_reserved_loras_choice,
self.enhancer_enabled_choice, self.enhancer_quantization_choice, self.enhancer_mode_choice,
self.prompt_enhancer_temperature_choice, self.prompt_enhancer_top_p_choice, self.prompt_enhancer_randomize_seed_choice,
self.mmaudio_mode_choice, self.mmaudio_persistence_choice, self.seedvc_mode_choice, self.seedvc_persistence_choice, self.flashvsr_mode_choice, self.flashvsr_persistence_choice, self.flashvsr_backend_choice, self.flashvsr_topk_ratio_choice, self.rife_version_choice, self.matanyone_version_choice,
self.deepy_enabled_choice, self.deepy_vram_mode_choice,
self.deepy_context_tokens_choice, self.deepy_custom_system_prompt_choice,
self.video_container_choice, self.video_output_codec_choice, self.hdr_video_crf_choice, self.image_output_codec_choice, self.audio_output_codec_choice, self.audio_stand_alone_output_codec_choice,
self.metadata_choice, self.embed_source_images_choice,
self.video_save_path_choice, self.image_save_path_choice, self.audio_save_path_choice,
self.notification_sound_enabled_choice, self.notification_sound_volume_choice,
self.resolution
]
self.apply_btn.click(
fn=self._save_changes,
inputs=inputs,
outputs=[
self.msg,
self.model_description,
self.header,
self.model_family,
self.model_base_type_choice,
self.model_choice,
self.refresh_form_trigger,
self.assistant_launcher_host,
self.assistant_panel
]
)
def release_ram_and_notify(state):
unload_models_from_ram(
state,
server_config=self.server_config,
any_GPU_process_running=self.any_GPU_process_running,
release_deepy_vram=self.release_deepy_vram,
reset_prompt_enhancer=self.reset_prompt_enhancer,
reset_prompt_enhancer_if_requested=self.reset_prompt_enhancer_if_requested,
release_flashvsr_vram=self.release_flashvsr_vram,
release_seedvc_vram=self.release_seedvc_vram,
release_model=self.release_model,
)
self.release_RAM_btn.click(fn=release_ram_and_notify, inputs=[self.state])
return [self.release_RAM_btn]
def _save_changes(self, state, *args):
gen_in_progress = self.is_generation_in_progress()
# return "<div style='color:red; text-align:center;'>Unable to change config when a generation is in progress.</div>", *[gr.update()]*5
if self.args.lock_config:
return "<div style='color:red; text-align:center;'>Configuration is locked by command-line arguments.</div>", *[gr.update()]*8
old_server_config = self.server_config.copy()
(
transformer_types_choices, model_hierarchy_type_choice, fit_canvas_choice,
attention_choice, preload_model_policy_choice, clear_file_list_choice, multi_prompts_gen_type_choice, keep_intermediate_sliding_windows_choice,
display_stats_choice, max_frames_multiplier_choice, enable_4k_resolutions_choice, checkpoints_paths_choice, loras_root_choice, save_queue_if_crash_choice,
UI_theme_choice, queue_color_scheme_choice, process_queues_when_browser_unfocused_choice,
quantization_choice, transformer_dtype_policy_choice, mixed_precision_choice,
text_encoder_quantization_choice, lm_decoder_engine_choice, VAE_precision_choice, compile_choice,
depth_anything_v2_variant_choice,
vae_config_choice, boost_choice, enable_int8_kernels_choice,
video_profile_choice, image_profile_choice, audio_profile_choice,
preload_in_VRAM_choice, max_reserved_loras_choice,
enhancer_enabled_choice, enhancer_quantization_choice, enhancer_mode_choice,
prompt_enhancer_temperature_choice, prompt_enhancer_top_p_choice, prompt_enhancer_randomize_seed_choice,
mmaudio_mode_choice, mmaudio_persistence_choice, seedvc_mode_choice, seedvc_persistence_choice, flashvsr_mode_choice, flashvsr_persistence_choice, flashvsr_backend_choice, flashvsr_topk_ratio_choice, rife_version_choice, matanyone_version_choice,
deepy_enabled_choice, deepy_vram_mode_choice,
deepy_context_tokens_choice, deepy_custom_system_prompt_choice,
video_container_choice, video_output_codec_choice, hdr_video_crf_choice, image_output_codec_choice, audio_output_codec_choice, audio_stand_alone_output_codec_choice,
metadata_choice, embed_source_images_choice,
save_path_choice, image_save_path_choice, audio_save_path_choice,
notification_sound_enabled_choice, notification_sound_volume_choice,
last_resolution_choice
) = args
if len(checkpoints_paths_choice.strip()) == 0:
checkpoints_paths = self.fl.default_checkpoints_paths
else:
checkpoints_paths = [path.strip() for path in checkpoints_paths_choice.replace("\r", "").split("\n") if len(path.strip()) > 0]
video_output_error = validate_video_output_settings(video_output_codec_choice, video_container_choice, audio_output_codec_choice)
if video_output_error is not None:
gr.Info(f"Configuration was not saved: {video_output_error}")
return f"<div style='color:red; text-align:center;'>Configuration was not saved: {video_output_error}</div>", *[gr.update()]*8
self.fl.set_checkpoints_paths(checkpoints_paths)
flashvsr_mode_choice = int(flashvsr_mode_choice or 0)
flashvsr_persistence_choice = int(flashvsr_persistence_choice or 1)
flashvsr_backend_choice = normalize_sparse_backend(flashvsr_backend_choice)
seedvc_config = {"seedvc_mode": seedvc_mode_choice, "seedvc_persistence": seedvc_persistence_choice}
seedvc_mode_choice, seedvc_persistence_choice = SeedVCBridge(self.server_config, self.fl).normalize_config(seedvc_config)
if flashvsr_mode_choice > 0:
flashvsr_requirement_message = flashvsr_sparse_attention_requirement_message(flashvsr_backend_choice)
if flashvsr_requirement_message is not None:
gr.Info(flashvsr_requirement_message)
try:
flashvsr_topk_ratio_choice = float(flashvsr_topk_ratio_choice or 0.0)
except (TypeError, ValueError):
flashvsr_topk_ratio_choice = 0.0
flashvsr_topk_ratio_choice = max(0.0, min(4.0, flashvsr_topk_ratio_choice))
mmaudio_enabled_choice = 0 if mmaudio_mode_choice == 0 else mmaudio_persistence_choice
new_server_config = dict(old_server_config)
new_server_config.update({
"attention_mode": attention_choice, "transformer_types": transformer_types_choices,
"text_encoder_quantization": text_encoder_quantization_choice, "save_path": save_path_choice,
"image_save_path": image_save_path_choice, "audio_save_path": audio_save_path_choice,
"lm_decoder_engine": lm_decoder_engine_choice,
"compile": compile_choice, "profile": video_profile_choice,
"video_profile": video_profile_choice, "image_profile": image_profile_choice, "audio_profile": audio_profile_choice,
"vae_config": vae_config_choice, "vae_precision": VAE_precision_choice,
"mixed_precision": mixed_precision_choice, "metadata_type": metadata_choice,
"transformer_quantization": quantization_choice, "transformer_dtype_policy": transformer_dtype_policy_choice,
"boost": boost_choice, "enable_int8_kernels": enable_int8_kernels_choice, "clear_file_list": clear_file_list_choice,
"multi_prompts_gen_type": prompt_parser.normalize_multi_prompts_mode(multi_prompts_gen_type_choice, default=prompt_parser.DEFAULT_MULTI_PROMPTS_MODE),
"keep_intermediate_sliding_windows": keep_intermediate_sliding_windows_choice,
"preload_model_policy": preload_model_policy_choice, "UI_theme": UI_theme_choice,
"fit_canvas": fit_canvas_choice, "enhancer_enabled": enhancer_enabled_choice,
"prompt_enhancer_quantization": enhancer_quantization_choice,
"enhancer_mode": enhancer_mode_choice, "mmaudio_mode": mmaudio_mode_choice,
"mmaudio_persistence": mmaudio_persistence_choice, "mmaudio_enabled": mmaudio_enabled_choice,
"seedvc_mode": seedvc_mode_choice, "seedvc_persistence": seedvc_persistence_choice,
"flashvsr_mode": flashvsr_mode_choice, "flashvsr_persistence": flashvsr_persistence_choice, "flashvsr_backend": flashvsr_backend_choice, "flashvsr_topk_ratio": flashvsr_topk_ratio_choice,
"rife_version": rife_version_choice, "matanyone_version": matanyone_version_choice,
"prompt_enhancer_temperature": prompt_enhancer_temperature_choice,
"prompt_enhancer_top_p": prompt_enhancer_top_p_choice,
"prompt_enhancer_randomize_seed": prompt_enhancer_randomize_seed_choice,
DEEPY_ENABLED_KEY: normalize_deepy_enabled(deepy_enabled_choice),
DEEPY_VRAM_MODE_KEY: normalize_deepy_vram_mode(deepy_vram_mode_choice),
DEEPY_CONTEXT_TOKENS_KEY: normalize_deepy_context_tokens(deepy_context_tokens_choice),
DEEPY_CUSTOM_SYSTEM_PROMPT_KEY: normalize_deepy_custom_system_prompt(deepy_custom_system_prompt_choice),
"preload_in_VRAM": preload_in_VRAM_choice, "depth_anything_v2_variant": depth_anything_v2_variant_choice,
"notification_sound_enabled": notification_sound_enabled_choice,
"notification_sound_volume": notification_sound_volume_choice,
"max_frames_multiplier": max_frames_multiplier_choice, "display_stats": display_stats_choice,
"enable_4k_resolutions": enable_4k_resolutions_choice,
"max_reserved_loras": max_reserved_loras_choice,
"video_output_codec": video_output_codec_choice, "hdr_video_crf": hdr_video_crf_choice,
"image_output_codec": image_output_codec_choice,
"audio_output_codec": audio_output_codec_choice,
"audio_stand_alone_output_codec": audio_stand_alone_output_codec_choice,
"model_hierarchy_type": model_hierarchy_type_choice,
"checkpoints_paths": checkpoints_paths,
"loras_root": loras_root_choice,
"save_queue_if_crash": save_queue_if_crash_choice,
"queue_color_scheme": queue_color_scheme_choice,
gradio_queue_focus_patch.FOCUS_QUEUE_SERVER_CONFIG_KEY: process_queues_when_browser_unfocused_choice,
"embed_source_images": embed_source_images_choice,
"video_container": video_container_choice,
"last_model_type": state["model_type"],
"last_model_per_family": state["last_model_per_family"],
"last_model_per_type": state["last_model_per_type"],
"last_advanced_choice": state["advanced"], "last_resolution_choice": last_resolution_choice,
"last_resolution_per_group": state["last_resolution_per_group"],
})
if self.args.lock_config:
if "attention_mode" in old_server_config: new_server_config["attention_mode"] = old_server_config["attention_mode"]
if "compile" in old_server_config: new_server_config["compile"] = old_server_config["compile"]
for key in ("depth_anything_v3_process_res", "depth_anything_v3_chunk_size", "depth_anything_v3_chunk_overlap"):
new_server_config.pop(key, None)
with open(self.server_config_filename, "w", encoding="utf-8") as writer:
writer.write(json.dumps(new_server_config, indent=4))
changes = [k for k, v in new_server_config.items() if v != old_server_config.get(k)]
no_reload_keys = [
"attention_mode", "vae_config", "boost", "enable_int8_kernels", "save_path", "image_save_path", "audio_save_path",
"metadata_type", "clear_file_list", "multi_prompts_gen_type", "keep_intermediate_sliding_windows", "fit_canvas", "depth_anything_v2_variant",
"notification_sound_enabled", "notification_sound_volume", "mmaudio_mode",
"mmaudio_persistence", "mmaudio_enabled", "seedvc_mode", "seedvc_persistence", "flashvsr_mode", "flashvsr_persistence", "flashvsr_backend", "flashvsr_topk_ratio", "rife_version", "matanyone_version",
"prompt_enhancer_temperature", "prompt_enhancer_top_p", "prompt_enhancer_randomize_seed", "prompt_enhancer_quantization", "enhancer_mode",
DEEPY_ENABLED_KEY, DEEPY_VRAM_MODE_KEY, DEEPY_CONTEXT_TOKENS_KEY, DEEPY_CUSTOM_SYSTEM_PROMPT_KEY,
"max_frames_multiplier", "display_stats", "enable_4k_resolutions", "max_reserved_loras", "video_output_codec", "hdr_video_crf", "video_container",
"embed_source_images", "image_output_codec", "audio_output_codec", "audio_stand_alone_output_codec", "checkpoints_paths", "loras_root", "save_queue_if_crash",
"model_hierarchy_type", "UI_theme", "queue_color_scheme", gradio_queue_focus_patch.FOCUS_QUEUE_SERVER_CONFIG_KEY
]
needs_reload = not all(change in no_reload_keys for change in changes)
self.set_global("server_config", new_server_config)
self.set_global("three_levels_hierarchy", new_server_config["model_hierarchy_type"] == 1)
self.set_global("attention_mode", new_server_config["attention_mode"])
self.set_global("default_profile", new_server_config["profile"])
self.set_global("default_profile_video", new_server_config["video_profile"])
self.set_global("default_profile_image", new_server_config["image_profile"])
self.set_global("default_profile_audio", new_server_config["audio_profile"])
self.set_global("compile", new_server_config["compile"])
self.set_global("text_encoder_quantization", new_server_config["text_encoder_quantization"])
self.set_global("lm_decoder_engine", new_server_config["lm_decoder_engine"])
self.set_global("vae_config", new_server_config["vae_config"])
self.set_global("boost", new_server_config["boost"])
self.set_global("enable_int8_kernels", new_server_config["enable_int8_kernels"])
self.set_global("save_path", new_server_config["save_path"])
self.set_global("image_save_path", new_server_config["image_save_path"])
self.set_global("audio_save_path", new_server_config["audio_save_path"])
self.set_global("preload_model_policy", new_server_config["preload_model_policy"])
self.set_global("transformer_quantization", new_server_config["transformer_quantization"])
self.set_global("transformer_dtype_policy", new_server_config["transformer_dtype_policy"])
self.set_global("transformer_types", new_server_config["transformer_types"])
set_deepy_runtime_config(new_server_config, self.server_config_filename)
if needs_reload: self.set_global("reload_needed", True)
self.server_config.update(new_server_config)
enhancer_runtime_changed = "enhancer_enabled" in changes or "prompt_enhancer_quantization" in changes or "lm_decoder_engine" in changes or DEEPY_ENABLED_KEY in changes or DEEPY_VRAM_MODE_KEY in changes
enhancer_profile_changed = "profile" in changes or "video_profile" in changes
if enhancer_runtime_changed:
get_or_create_assistant_session(state).force_loading_status_once = True
self.release_deepy_vram(state, clear_session_state=True, discard_runtime_snapshot=True)
self.reset_prompt_enhancer()
self.reset_prompt_enhancer_if_requested()
elif enhancer_profile_changed:
self.release_deepy_vram(state, clear_session_state=False, discard_runtime_snapshot=True)
self.reset_prompt_enhancer()
self.reset_prompt_enhancer_if_requested()
if "seedvc_mode" in changes or "seedvc_persistence" in changes:
self.release_seedvc_vram()
if "enable_int8_kernels" in changes:
self.apply_int8_kernel_setting(new_server_config["enable_int8_kernels"], True)
model_type = state["model_type"]
model_family_update, model_base_type_update, model_choice_update = self.generate_dropdown_model_list(model_type)
description_update, header_update = self.generate_header(model_type, compile=new_server_config["compile"], attention_mode=new_server_config["attention_mode"])
if gen_in_progress:
msg = "<div style='color:green; text-align:center;'>The new configuration has been succesfully applied. Some of the Settings will be only effective when you will start another Generation</div>"
else:
msg = "<div style='color:green; text-align:center;'>The new configuration has been succesfully applied.</div>"
deepy_visible = deepy_available(new_server_config)
launcher_update = gr.update(value=assistant_chat.render_launcher_html() if deepy_visible else "", visible=deepy_visible)
panel_update = gr.update(visible=deepy_visible)
return (
msg,
description_update,
header_update,
model_family_update,
model_base_type_update,
model_choice_update,
self.get_unique_id(),
launcher_update,
panel_update,
)
|