| 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.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, |
| ) |
|
|
| class ConfigTabPlugin(WAN2GPPlugin): |
| def __init__(self): |
| super().__init__() |
| self.name = "Configuration Tab" |
| self.version = "1.1.1" |
| 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("get_sorted_dropdown") |
| 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("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): |
| set_deepy_runtime_config(self.server_config, self.server_config_filename) |
| with gr.Column(): |
| with gr.Tabs(): |
| with gr.Tab("General"): |
| _, _, dropdown_choices = self.get_sorted_dropdown(self.displayed_model_types, None, None, False) |
|
|
| self.transformer_types_choices = gr.Dropdown( |
| choices=dropdown_choices, value=self.transformer_types, |
| label="Selectable Generative Models (leave empty for all)", multiselect=True |
| ) |
| 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.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) |
| self.depth_anything_v2_variant_choice = gr.Dropdown(choices=[("Large (more precise, slower)", "vitl"), ("Big (less precise, faster)", "vitb")], value=self.server_config.get("depth_anything_v2_variant", "vitl"), label="Depth Anything v2 VACE Preprocessor") |
| 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"): |
| 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: |
| legacy_mmaudio = self.server_config.get("mmaudio_enabled", 0) |
| mmaudio_mode_default = 0 if legacy_mmaudio == 0 else 1 |
| 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=[("Off", 0), ("Standard", 1), ("NSFW", 2)], |
| value=mmaudio_mode_default, |
| 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" |
| ) |
| 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 |
| ) |
| self.matanyone_version_choice = gr.Dropdown( |
| choices=[("MatAnyone v1 (original, default)", "v1"), ("MatAnyone v2", "v2")], |
| value=self.server_config.get("matanyone_version", "v1"), |
| label="MatAnyone Video Mask Model", |
| interactive=not self.args.lock_config |
| ) |
|
|
| with gr.Tab("Prompt Enhancer / Deepy"): |
| with gr.Group(): |
| self.enhancer_enabled_choice = gr.Dropdown(choices=[("Off", 0), ("Florence 2 (image captioning) + LLama 3.2 3B (text generation)", 1), ("Florence 2 (image captioning) + Llama Joy 8B (uncensored, richer)", 2), ("Qwen3.5VL Abliterated 4B (captioning + uncensored text enhancement, vllm accelerated if available)", 3), ("Qwen3.5VL Abliterated 9B (captioning + uncensored high end text enhancement, vllm accelerated if available)", 4)], value=self.server_config.get("enhancer_enabled", 0), label="Prompt Enhancer (requires extra model files)") |
| self.enhancer_quantization_choice = gr.Dropdown( |
| choices=[("Quanto Int8 (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_output_codec_choice = gr.Dropdown(choices=[("x265 CRF 28 (Balanced)", 'libx265_28'), ("x264 Level 8 (Balanced)", 'libx264_8'), ("x265 CRF 8 (High Quality)", 'libx265_8'), ("x264 Level 10 (High Quality)", 'libx264_10'), ("x264 Lossless", 'libx264_lossless')], value=self.server_config.get("video_output_codec", "libx264_8"), label="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 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 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.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.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_output_codec_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 _unload_targets_text(): |
| targets = ["Models"] |
| try: |
| enhancer_enabled = int(self.server_config.get("enhancer_enabled", 0) or 0) > 0 |
| except Exception: |
| enhancer_enabled = False |
| if enhancer_enabled: |
| targets.append("Prompt Enhancer") |
| if deepy_available(self.server_config): |
| targets.append("Deepy") |
| if len(targets) == 1: |
| return targets[0] |
| return ", ".join(targets[:-1]) + f", and {targets[-1]}" if len(targets) > 2 else " and ".join(targets) |
|
|
| def release_ram_and_notify(state): |
| unload_targets = _unload_targets_text() |
| if self.any_GPU_process_running(state, "configuration"): |
| gr.Info(f"Unable to unload {unload_targets} while GPU resources are allocated.") |
| return |
| if deepy_available(self.server_config): |
| self.release_deepy_vram(state, clear_session_state=False, discard_runtime_snapshot=True) |
| if "Prompt Enhancer" in unload_targets: |
| self.reset_prompt_enhancer() |
| self.reset_prompt_enhancer_if_requested() |
| self.release_model() |
| gr.Info(f"{unload_targets} unloaded from RAM.") |
|
|
| 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() |
| |
|
|
| 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, 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, rife_version_choice, matanyone_version_choice, |
| deepy_enabled_choice, deepy_vram_mode_choice, |
| deepy_context_tokens_choice, deepy_custom_system_prompt_choice, |
| video_output_codec_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] |
|
|
| self.fl.set_checkpoints_paths(checkpoints_paths) |
|
|
| 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, |
| "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, |
| "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, "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": "mp4", |
| "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"] |
|
|
| 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", "keep_intermediate_sliding_windows", "fit_canvas", "depth_anything_v2_variant", |
| "notification_sound_enabled", "notification_sound_volume", "mmaudio_mode", |
| "mmaudio_persistence", "mmaudio_enabled", "rife_version", "matanyone_version", |
| "prompt_enhancer_temperature", "prompt_enhancer_top_p", "prompt_enhancer_randomize_seed", "prompt_enhancer_quantization", |
| 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", "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) |
|
|
| if "enhancer_enabled" in changes or "enhancer_mode" 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: |
| get_or_create_assistant_session(state).force_loading_status_once = True |
| self.release_deepy_vram(state, clear_session_state=False) |
| self.reset_prompt_enhancer() |
| 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, |
| ) |
|
|
