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import os |
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import re |
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import torch |
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import numpy as np |
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import gradio as gr |
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import cv2 |
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from PIL import Image |
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from shared.utils.hf import build_hf_url |
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def test_vace(base_model_type): |
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return base_model_type in ["vace_14B", "vace_14B_2_2", "vace_1.3B", "vace_multitalk_14B", "vace_standin_14B", "vace_lynx_14B", "vace_ditto_14B"] |
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def test_class_i2v(base_model_type): |
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return base_model_type in ["i2v", "i2v_2_2", "fun_inp_1.3B", "fun_inp", "flf2v_720p", "fantasy", "multitalk", "infinitetalk", "i2v_2_2_multitalk", "animate", "chrono_edit", "steadydancer", "wanmove", "scail", "i2v_2_2_svi2pro" ] |
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def test_class_t2v(base_model_type): |
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return base_model_type in ["t2v", "t2v_2_2", "alpha", "alpha2", "lynx"] |
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def test_oneframe_overlap(base_model_type): |
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return test_class_i2v(base_model_type) and not (test_multitalk(base_model_type) or base_model_type in ["animate", "scail"] or test_svi2pro(base_model_type)) or test_wan_5B(base_model_type) |
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def test_class_1_3B(base_model_type): |
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return base_model_type in [ "vace_1.3B", "t2v_1.3B", "recam_1.3B","phantom_1.3B","fun_inp_1.3B"] |
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def test_multitalk(base_model_type): |
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return base_model_type in ["multitalk", "vace_multitalk_14B", "i2v_2_2_multitalk", "infinitetalk"] |
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def test_standin(base_model_type): |
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return base_model_type in ["standin", "vace_standin_14B"] |
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def test_lynx(base_model_type): |
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return base_model_type in ["lynx_lite", "vace_lynx_lite_14B", "lynx", "vace_lynx_14B", "alpha_lynx"] |
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def test_alpha(base_model_type): |
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return base_model_type in ["alpha", "alpha2", "alpha_lynx"] |
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def test_wan_5B(base_model_type): |
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return base_model_type in ["ti2v_2_2", "lucy_edit"] |
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def test_i2v_2_2(base_model_type): |
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return base_model_type in ["i2v_2_2", "i2v_2_2_multitalk", "i2v_2_2_svi2pro"] |
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def test_svi2pro(base_model_type): |
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return base_model_type in ["i2v_2_2_svi2pro"] |
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class family_handler(): |
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@staticmethod |
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def query_supported_types(): |
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return ["multitalk", "infinitetalk", "fantasy", "vace_14B", "vace_14B_2_2", "vace_multitalk_14B", "vace_standin_14B", "vace_lynx_14B", |
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"t2v_1.3B", "standin", "lynx_lite", "lynx", "t2v", "t2v_2_2", "vace_1.3B", "vace_ditto_14B", "phantom_1.3B", "phantom_14B", |
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"recam_1.3B", "animate", "alpha", "alpha2", "alpha_lynx", "chrono_edit", |
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"i2v", "i2v_2_2", "i2v_2_2_multitalk", "ti2v_2_2", "lucy_edit", "flf2v_720p", "fun_inp_1.3B", "fun_inp", "mocha", "steadydancer", "wanmove", "scail", "i2v_2_2_svi2pro"] |
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@staticmethod |
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def query_family_maps(): |
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models_eqv_map = { |
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"flf2v_720p" : "i2v", |
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"i2v_2_2_svi2pro": "i2v_2_2", |
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"t2v_1.3B" : "t2v", |
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"t2v_2_2" : "t2v", |
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"alpha" : "t2v", |
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"alpha2" : "t2v", |
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"lynx" : "t2v", |
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"standin" : "t2v", |
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"vace_standin_14B" : "vace_14B", |
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"vace_lynx_14B" : "vace_14B", |
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"vace_14B_2_2": "vace_14B", |
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} |
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models_comp_map = { |
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"vace_14B" : [ "vace_multitalk_14B", "vace_standin_14B", "vace_lynx_lite_14B", "vace_lynx_14B", "vace_14B_2_2"], |
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"t2v" : [ "vace_14B", "vace_1.3B" "vace_multitalk_14B", "vace_standin_14B", "vace_lynx_lite_14B", "vace_lynx_14B", "vace_14B_2_2", "t2v_1.3B", "phantom_1.3B","phantom_14B", "standin", "lynx_lite", "lynx", "alpha", "alpha2"], |
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"i2v" : [ "fantasy", "multitalk", "flf2v_720p" ], |
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"i2v_2_2" : ["i2v_2_2_multitalk", "i2v_2_2_svi2pro"], |
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"fantasy": ["multitalk"], |
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} |
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return models_eqv_map, models_comp_map |
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@staticmethod |
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def query_model_family(): |
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return "wan" |
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@staticmethod |
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def query_family_infos(): |
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return {"wan":(0, "Wan2.1"), "wan2_2":(1, "Wan2.2") } |
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@staticmethod |
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def register_lora_cli_args(parser): |
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parser.add_argument( |
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"--lora-dir-i2v", |
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type=str, |
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default=os.path.join("loras", "wan_i2v"), |
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help="Path to a directory that contains Wan i2v Loras " |
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) |
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parser.add_argument( |
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"--lora-dir", |
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type=str, |
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default=os.path.join("loras", "wan"), |
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help="Path to a directory that contains Wan t2v Loras" |
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) |
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parser.add_argument( |
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"--lora-dir-wan-1-3b", |
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type=str, |
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default=os.path.join("loras", "wan_1.3B"), |
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help="Path to a directory that contains Wan 1.3B Loras" |
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) |
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parser.add_argument( |
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"--lora-dir-wan-5b", |
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type=str, |
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default=os.path.join("loras", "wan_5B"), |
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help="Path to a directory that contains Wan 5B Loras" |
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) |
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parser.add_argument( |
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"--lora-dir-wan-i2v", |
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type=str, |
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default=os.path.join("loras", "wan_i2v"), |
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help="Path to a directory that contains Wan i2v Loras" |
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) |
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@staticmethod |
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def get_lora_dir(base_model_type, args): |
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i2v = test_class_i2v(base_model_type) and not test_i2v_2_2(base_model_type) |
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wan_dir = getattr(args, "lora_dir_wan", None) or getattr(args, "lora_dir", None) or os.path.join("loras", "wan") |
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wan_i2v_dir = getattr(args, "lora_dir_wan_i2v", None) or getattr(args, "lora_dir_i2v", None) or os.path.join("loras", "wan_i2v") |
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wan_1_3b_dir = getattr(args, "lora_dir_wan_1_3b", None) or os.path.join("loras", "wan_1.3B") |
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wan_5b_dir = getattr(args, "lora_dir_wan_5b", None) or os.path.join("loras", "wan_5B") |
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if i2v: |
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return wan_i2v_dir |
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if "1.3B" in base_model_type: |
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return wan_1_3b_dir |
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if base_model_type in ["ti2v_2_2", "ovi"]: |
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return wan_5b_dir |
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return wan_dir |
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@staticmethod |
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def set_cache_parameters(cache_type, base_model_type, model_def, inputs, skip_steps_cache): |
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i2v = test_class_i2v(base_model_type) |
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resolution = inputs["resolution"] |
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width, height = resolution.split("x") |
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pixels = int(width) * int(height) |
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if cache_type == "mag": |
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skip_steps_cache.update({ |
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"magcache_thresh" : 0, |
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"magcache_K" : 2, |
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}) |
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if base_model_type in ["t2v", "mocha"] and "URLs2" in model_def: |
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def_mag_ratios = [1.00124, 1.00155, 0.99822, 0.99851, 0.99696, 0.99687, 0.99703, 0.99732, 0.9966, 0.99679, 0.99602, 0.99658, 0.99578, 0.99664, 0.99484, 0.9949, 0.99633, 0.996, 0.99659, 0.99683, 0.99534, 0.99549, 0.99584, 0.99577, 0.99681, 0.99694, 0.99563, 0.99554, 0.9944, 0.99473, 0.99594, 0.9964, 0.99466, 0.99461, 0.99453, 0.99481, 0.99389, 0.99365, 0.99391, 0.99406, 0.99354, 0.99361, 0.99283, 0.99278, 0.99268, 0.99263, 0.99057, 0.99091, 0.99125, 0.99126, 0.65523, 0.65252, 0.98808, 0.98852, 0.98765, 0.98736, 0.9851, 0.98535, 0.98311, 0.98339, 0.9805, 0.9806, 0.97776, 0.97771, 0.97278, 0.97286, 0.96731, 0.96728, 0.95857, 0.95855, 0.94385, 0.94385, 0.92118, 0.921, 0.88108, 0.88076, 0.80263, 0.80181] |
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elif base_model_type in ["i2v_2_2"]: |
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def_mag_ratios = [0.99191, 0.99144, 0.99356, 0.99337, 0.99326, 0.99285, 0.99251, 0.99264, 0.99393, 0.99366, 0.9943, 0.9943, 0.99276, 0.99288, 0.99389, 0.99393, 0.99274, 0.99289, 0.99316, 0.9931, 0.99379, 0.99377, 0.99268, 0.99271, 0.99222, 0.99227, 0.99175, 0.9916, 0.91076, 0.91046, 0.98931, 0.98933, 0.99087, 0.99088, 0.98852, 0.98855, 0.98895, 0.98896, 0.98806, 0.98808, 0.9871, 0.98711, 0.98613, 0.98618, 0.98434, 0.98435, 0.983, 0.98307, 0.98185, 0.98187, 0.98131, 0.98131, 0.9783, 0.97835, 0.97619, 0.9762, 0.97264, 0.9727, 0.97088, 0.97098, 0.96568, 0.9658, 0.96045, 0.96055, 0.95322, 0.95335, 0.94579, 0.94594, 0.93297, 0.93311, 0.91699, 0.9172, 0.89174, 0.89202, 0.8541, 0.85446, 0.79823, 0.79902] |
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elif test_wan_5B(base_model_type): |
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if inputs.get("image_start", None) is not None and inputs.get("video_source", None) is not None : |
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def_mag_ratios = [0.99505, 0.99389, 0.99441, 0.9957, 0.99558, 0.99551, 0.99499, 0.9945, 0.99534, 0.99548, 0.99468, 0.9946, 0.99463, 0.99458, 0.9946, 0.99453, 0.99408, 0.99404, 0.9945, 0.99441, 0.99409, 0.99398, 0.99403, 0.99397, 0.99382, 0.99377, 0.99349, 0.99343, 0.99377, 0.99378, 0.9933, 0.99328, 0.99303, 0.99301, 0.99217, 0.99216, 0.992, 0.99201, 0.99201, 0.99202, 0.99133, 0.99132, 0.99112, 0.9911, 0.99155, 0.99155, 0.98958, 0.98957, 0.98959, 0.98958, 0.98838, 0.98835, 0.98826, 0.98825, 0.9883, 0.98828, 0.98711, 0.98709, 0.98562, 0.98561, 0.98511, 0.9851, 0.98414, 0.98412, 0.98284, 0.98282, 0.98104, 0.98101, 0.97981, 0.97979, 0.97849, 0.97849, 0.97557, 0.97554, 0.97398, 0.97395, 0.97171, 0.97166, 0.96917, 0.96913, 0.96511, 0.96507, 0.96263, 0.96257, 0.95839, 0.95835, 0.95483, 0.95475, 0.94942, 0.94936, 0.9468, 0.94678, 0.94583, 0.94594, 0.94843, 0.94872, 0.96949, 0.97015] |
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else: |
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def_mag_ratios = [0.99512, 0.99559, 0.99559, 0.99561, 0.99595, 0.99577, 0.99512, 0.99512, 0.99546, 0.99534, 0.99543, 0.99531, 0.99496, 0.99491, 0.99504, 0.99499, 0.99444, 0.99449, 0.99481, 0.99481, 0.99435, 0.99435, 0.9943, 0.99431, 0.99411, 0.99406, 0.99373, 0.99376, 0.99413, 0.99405, 0.99363, 0.99359, 0.99335, 0.99331, 0.99244, 0.99243, 0.99229, 0.99229, 0.99239, 0.99236, 0.99163, 0.9916, 0.99149, 0.99151, 0.99191, 0.99192, 0.9898, 0.98981, 0.9899, 0.98987, 0.98849, 0.98849, 0.98846, 0.98846, 0.98861, 0.98861, 0.9874, 0.98738, 0.98588, 0.98589, 0.98539, 0.98534, 0.98444, 0.98439, 0.9831, 0.98309, 0.98119, 0.98118, 0.98001, 0.98, 0.97862, 0.97859, 0.97555, 0.97558, 0.97392, 0.97388, 0.97152, 0.97145, 0.96871, 0.9687, 0.96435, 0.96434, 0.96129, 0.96127, 0.95639, 0.95638, 0.95176, 0.95175, 0.94446, 0.94452, 0.93972, 0.93974, 0.93575, 0.9359, 0.93537, 0.93552, 0.96655, 0.96616] |
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elif test_class_1_3B(base_model_type): |
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def_mag_ratios = [1.0124, 1.02213, 1.00166, 1.0041, 0.99791, 1.00061, 0.99682, 0.99762, 0.99634, 0.99685, 0.99567, 0.99586, 0.99416, 0.99422, 0.99578, 0.99575, 0.9957, 0.99563, 0.99511, 0.99506, 0.99535, 0.99531, 0.99552, 0.99549, 0.99541, 0.99539, 0.9954, 0.99536, 0.99489, 0.99485, 0.99518, 0.99514, 0.99484, 0.99478, 0.99481, 0.99479, 0.99415, 0.99413, 0.99419, 0.99416, 0.99396, 0.99393, 0.99388, 0.99386, 0.99349, 0.99349, 0.99309, 0.99304, 0.9927, 0.9927, 0.99228, 0.99226, 0.99171, 0.9917, 0.99137, 0.99135, 0.99068, 0.99063, 0.99005, 0.99003, 0.98944, 0.98942, 0.98849, 0.98849, 0.98758, 0.98757, 0.98644, 0.98643, 0.98504, 0.98503, 0.9836, 0.98359, 0.98202, 0.98201, 0.97977, 0.97978, 0.97717, 0.97718, 0.9741, 0.97411, 0.97003, 0.97002, 0.96538, 0.96541, 0.9593, 0.95933, 0.95086, 0.95089, 0.94013, 0.94019, 0.92402, 0.92414, 0.90241, 0.9026, 0.86821, 0.86868, 0.81838, 0.81939] |
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elif i2v: |
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if pixels >= 1280*720: |
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def_mag_ratios = [0.99428, 0.99498, 0.98588, 0.98621, 0.98273, 0.98281, 0.99018, 0.99023, 0.98911, 0.98917, 0.98646, 0.98652, 0.99454, 0.99456, 0.9891, 0.98909, 0.99124, 0.99127, 0.99102, 0.99103, 0.99215, 0.99212, 0.99515, 0.99515, 0.99576, 0.99572, 0.99068, 0.99072, 0.99097, 0.99097, 0.99166, 0.99169, 0.99041, 0.99042, 0.99201, 0.99198, 0.99101, 0.99101, 0.98599, 0.98603, 0.98845, 0.98844, 0.98848, 0.98851, 0.98862, 0.98857, 0.98718, 0.98719, 0.98497, 0.98497, 0.98264, 0.98263, 0.98389, 0.98393, 0.97938, 0.9794, 0.97535, 0.97536, 0.97498, 0.97499, 0.973, 0.97301, 0.96827, 0.96828, 0.96261, 0.96263, 0.95335, 0.9534, 0.94649, 0.94655, 0.93397, 0.93414, 0.91636, 0.9165, 0.89088, 0.89109, 0.8679, 0.86768] |
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else: |
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def_mag_ratios = [0.98783, 0.98993, 0.97559, 0.97593, 0.98311, 0.98319, 0.98202, 0.98225, 0.9888, 0.98878, 0.98762, 0.98759, 0.98957, 0.98971, 0.99052, 0.99043, 0.99383, 0.99384, 0.98857, 0.9886, 0.99065, 0.99068, 0.98845, 0.98847, 0.99057, 0.99057, 0.98957, 0.98961, 0.98601, 0.9861, 0.98823, 0.98823, 0.98756, 0.98759, 0.98808, 0.98814, 0.98721, 0.98724, 0.98571, 0.98572, 0.98543, 0.98544, 0.98157, 0.98165, 0.98411, 0.98413, 0.97952, 0.97953, 0.98149, 0.9815, 0.9774, 0.97742, 0.97825, 0.97826, 0.97355, 0.97361, 0.97085, 0.97087, 0.97056, 0.97055, 0.96588, 0.96587, 0.96113, 0.96124, 0.9567, 0.95681, 0.94961, 0.94969, 0.93973, 0.93988, 0.93217, 0.93224, 0.91878, 0.91896, 0.90955, 0.90954, 0.92617, 0.92616] |
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else: |
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def_mag_ratios = [1.02504, 1.03017, 1.00025, 1.00251, 0.9985, 0.99962, 0.99779, 0.99771, 0.9966, 0.99658, 0.99482, 0.99476, 0.99467, 0.99451, 0.99664, 0.99656, 0.99434, 0.99431, 0.99533, 0.99545, 0.99468, 0.99465, 0.99438, 0.99434, 0.99516, 0.99517, 0.99384, 0.9938, 0.99404, 0.99401, 0.99517, 0.99516, 0.99409, 0.99408, 0.99428, 0.99426, 0.99347, 0.99343, 0.99418, 0.99416, 0.99271, 0.99269, 0.99313, 0.99311, 0.99215, 0.99215, 0.99218, 0.99215, 0.99216, 0.99217, 0.99163, 0.99161, 0.99138, 0.99135, 0.98982, 0.9898, 0.98996, 0.98995, 0.9887, 0.98866, 0.98772, 0.9877, 0.98767, 0.98765, 0.98573, 0.9857, 0.98501, 0.98498, 0.9838, 0.98376, 0.98177, 0.98173, 0.98037, 0.98035, 0.97678, 0.97677, 0.97546, 0.97543, 0.97184, 0.97183, 0.96711, 0.96708, 0.96349, 0.96345, 0.95629, 0.95625, 0.94926, 0.94929, 0.93964, 0.93961, 0.92511, 0.92504, 0.90693, 0.90678, 0.8796, 0.87945, 0.86111, 0.86189] |
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skip_steps_cache.def_mag_ratios = def_mag_ratios |
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else: |
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if i2v: |
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if pixels >= 1280*720: |
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coefficients= [-114.36346466, 65.26524496, -18.82220707, 4.91518089, -0.23412683] |
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else: |
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coefficients= [-3.02331670e+02, 2.23948934e+02, -5.25463970e+01, 5.87348440e+00, -2.01973289e-01] |
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else: |
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if test_class_1_3B(base_model_type): |
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coefficients= [2.39676752e+03, -1.31110545e+03, 2.01331979e+02, -8.29855975e+00, 1.37887774e-01] |
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else: |
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coefficients= [-5784.54975374, 5449.50911966, -1811.16591783, 256.27178429, -13.02252404] |
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skip_steps_cache.coefficients = coefficients |
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@staticmethod |
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def query_model_def(base_model_type, model_def): |
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extra_model_def = {} |
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if "URLs2" in model_def: |
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extra_model_def["no_steps_skipping"] = True |
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extra_model_def["compile"] = ["transformer","transformer2"] |
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text_encoder_folder = "umt5-xxl" |
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extra_model_def["text_encoder_URLs"] = [ |
|
|
build_hf_url("DeepBeepMeep/Wan2.1", text_encoder_folder, "models_t5_umt5-xxl-enc-bf16.safetensors"), |
|
|
build_hf_url("DeepBeepMeep/Wan2.1", text_encoder_folder, "models_t5_umt5-xxl-enc-quanto_int8.safetensors"), |
|
|
] |
|
|
extra_model_def["text_encoder_folder"] = text_encoder_folder |
|
|
extra_model_def["i2v_class"] = i2v = test_class_i2v(base_model_type) |
|
|
extra_model_def["t2v_class"] = t2v = test_class_t2v(base_model_type) |
|
|
extra_model_def["multitalk_class"] = multitalk = test_multitalk(base_model_type) |
|
|
extra_model_def["standin_class"] = standin = test_standin(base_model_type) |
|
|
extra_model_def["lynx_class"] = lynx = test_lynx(base_model_type) |
|
|
extra_model_def["alpha_class"] = alpha = test_alpha(base_model_type) |
|
|
extra_model_def["wan_5B_class"] = wan_5B = test_wan_5B(base_model_type) |
|
|
extra_model_def["vace_class"] = vace_class = test_vace(base_model_type) |
|
|
extra_model_def["color_correction"] = True |
|
|
extra_model_def["svi2pro"] = svi2pro = test_svi2pro(base_model_type) |
|
|
extra_model_def["i2v_2_2"] = i2v_2_2 = test_i2v_2_2(base_model_type) |
|
|
|
|
|
|
|
|
if multitalk or base_model_type in ["fantasy"]: |
|
|
if multitalk: |
|
|
extra_model_def["audio_prompt_choices"] = True |
|
|
extra_model_def["any_audio_prompt"] = True |
|
|
|
|
|
if base_model_type in ["vace_multitalk_14B", "vace_standin_14B", "vace_lynx_14B"]: |
|
|
extra_model_def["parent_model_type"] = "vace_14B" |
|
|
|
|
|
group = "wan" |
|
|
if base_model_type in ["t2v_2_2", "vace_14B_2_2"] or test_i2v_2_2(base_model_type): |
|
|
profiles_dir = "wan_2_2" |
|
|
group = "wan2_2" |
|
|
elif i2v: |
|
|
profiles_dir = "wan_i2v" |
|
|
if base_model_type in ["chrono_edit"]: |
|
|
profiles_dir = "wan_chrono_edit" |
|
|
elif test_wan_5B(base_model_type): |
|
|
profiles_dir = "wan_2_2_5B" |
|
|
group = "wan2_2" |
|
|
elif test_class_1_3B(base_model_type): |
|
|
profiles_dir = "wan_1.3B" |
|
|
elif test_alpha(base_model_type): |
|
|
profiles_dir = "wan_alpha" |
|
|
else: |
|
|
profiles_dir = "wan" |
|
|
|
|
|
if (test_class_t2v(base_model_type) or vace_class or base_model_type in ["chrono_edit"]) and not test_alpha(base_model_type): |
|
|
extra_model_def["vae_upsampler"] = [1,2] |
|
|
|
|
|
extra_model_def["profiles_dir"] = [profiles_dir] |
|
|
extra_model_def["group"] = group |
|
|
|
|
|
if base_model_type in ["animate"]: |
|
|
fps = 30 |
|
|
elif multitalk: |
|
|
fps = 25 |
|
|
elif base_model_type in ["fantasy"]: |
|
|
fps = 23 |
|
|
elif wan_5B: |
|
|
fps = 24 |
|
|
else: |
|
|
fps = 16 |
|
|
extra_model_def["fps"] =fps |
|
|
multiple_submodels = "URLs2" in model_def |
|
|
if vace_class: |
|
|
frames_minimum, frames_steps = 17, 4 |
|
|
else: |
|
|
frames_minimum, frames_steps = 5, 4 |
|
|
extra_model_def.update({ |
|
|
"frames_minimum" : frames_minimum, |
|
|
"frames_steps" : frames_steps, |
|
|
"sliding_window" : base_model_type in ["multitalk", "infinitetalk", "t2v", "t2v_2_2", "fantasy", "animate", "lynx"] or test_class_i2v(base_model_type) or test_wan_5B(base_model_type) or vace_class, |
|
|
"multiple_submodels" : multiple_submodels, |
|
|
"guidance_max_phases" : 3, |
|
|
"skip_layer_guidance" : True, |
|
|
"flow_shift": True, |
|
|
"cfg_zero" : True, |
|
|
"cfg_star" : True, |
|
|
"adaptive_projected_guidance" : True, |
|
|
"tea_cache" : not (base_model_type in ["i2v_2_2"] or test_wan_5B(base_model_type) or multiple_submodels), |
|
|
"mag_cache" : True, |
|
|
"keep_frames_video_guide_not_supported": base_model_type in ["infinitetalk"], |
|
|
"sample_solvers":[ |
|
|
("unipc", "unipc"), |
|
|
("euler", "euler"), |
|
|
("dpm++", "dpm++"), |
|
|
("flowmatch causvid", "causvid"), |
|
|
("lcm + ltx", "lcm"), ] |
|
|
}) |
|
|
|
|
|
if i2v: |
|
|
extra_model_def["motion_amplitude"] = True |
|
|
|
|
|
if base_model_type in ["i2v_2_2"]: |
|
|
extra_model_def["i2v_v2v"] = True |
|
|
extra_model_def["extract_guide_from_window_start"] = True |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[("Use Text & Image Prompt Only", ""), |
|
|
("Video to Video guided by Text Prompt & Image", "GUV"), |
|
|
("Video to Video guided by Text/Image Prompt and Restricted to the Area of the Video Mask", "GVA")], |
|
|
"default": "", |
|
|
"show_label" : False, |
|
|
"letters_filter": "GUVA", |
|
|
"label": "Video to Video" |
|
|
} |
|
|
|
|
|
extra_model_def["mask_preprocessing"] = { |
|
|
"selection":[ "", "A"], |
|
|
"visible": False |
|
|
} |
|
|
if svi2pro: |
|
|
extra_model_def["image_ref_choices"] = { |
|
|
"choices": [("No Anchor Image", ""), |
|
|
("Anchor Images For Each Window", "KI"), |
|
|
], |
|
|
"letters_filter": "KI", |
|
|
"show_label" : False, |
|
|
} |
|
|
extra_model_def["all_image_refs_are_background_ref"] = True |
|
|
extra_model_def["parent_model_type"] = "i2v_2_2" |
|
|
|
|
|
|
|
|
if base_model_type in ["i2v", "flf2v_720p"] or test_i2v_2_2(base_model_type): |
|
|
extra_model_def["black_frame"] = True |
|
|
|
|
|
|
|
|
if t2v: |
|
|
if not alpha: |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[("Use Text Prompt Only", ""), |
|
|
("Video to Video guided by Text Prompt", "GUV"), |
|
|
("Video to Video guided by Text Prompt and Restricted to the Area of the Video Mask", "GVA")], |
|
|
"default": "", |
|
|
"show_label" : False, |
|
|
"letters_filter": "GUVA", |
|
|
"label": "Video to Video" |
|
|
} |
|
|
|
|
|
extra_model_def["mask_preprocessing"] = { |
|
|
"selection":[ "", "A"], |
|
|
"visible": False |
|
|
} |
|
|
extra_model_def["v2i_switch_supported"] = True |
|
|
|
|
|
|
|
|
if base_model_type in ["wanmove"]: |
|
|
extra_model_def["custom_guide"] = { "label": "Trajectory File", "required": True, "file_types": [".npy"]} |
|
|
extra_model_def["i2v_trajectory"] = True |
|
|
|
|
|
if base_model_type in ["steadydancer"]: |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[ |
|
|
("Use Control Video Poses to Animate Person in Start Image", "V"), |
|
|
("Use Control Video Poses filterd with Mask Video to Animate Person in Start Image", "VA"), |
|
|
], |
|
|
"default": "PVB", |
|
|
"letters_filter": "PVBA", |
|
|
"label": "Type of Process", |
|
|
"scale": 3, |
|
|
"show_label" : False, |
|
|
} |
|
|
extra_model_def["custom_preprocessor"] = "Extracting Pose Information" |
|
|
extra_model_def["alt_guidance"] = "Condition Guidance" |
|
|
extra_model_def["no_guide2_refresh"] = True |
|
|
extra_model_def["no_mask_refresh"] = True |
|
|
extra_model_def["control_video_trim"] = True |
|
|
|
|
|
if base_model_type in ["scail"]: |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices": [ |
|
|
("Animate One Person", "V#1#"), |
|
|
("Animate Two Persons", "V#2#"), |
|
|
("Animate Three Persons", "V#3#"), |
|
|
("Animate Four Persons", "V#4#"), |
|
|
("Animate Five Persons", "V#5#"), |
|
|
], |
|
|
"default": "V#1#", |
|
|
"letters_filter": "V#12345", |
|
|
"label": "Type of Process", |
|
|
"scale": 3, |
|
|
"show_label": True, |
|
|
} |
|
|
|
|
|
extra_model_def["preprocess_all"] = True |
|
|
extra_model_def["custom_preprocessor"] = "Extracting 3D Pose (NLFPose)" |
|
|
extra_model_def["forced_guide_mask_inputs"] = True |
|
|
extra_model_def["keep_frames_video_guide_not_supported"] = True |
|
|
extra_model_def["mask_preprocessing"] = { |
|
|
"selection": ["", "A", "NA"], |
|
|
"visible": True, |
|
|
"label": "Persons Locations" |
|
|
} |
|
|
extra_model_def["control_video_trim"] = True |
|
|
extra_model_def["extract_guide_from_window_start"] = True |
|
|
|
|
|
extra_model_def["return_image_refs_tensor"] = True |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if base_model_type in ["infinitetalk"]: |
|
|
extra_model_def["no_background_removal"] = True |
|
|
extra_model_def["all_image_refs_are_background_ref"] = True |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[ |
|
|
("Images to Video, each Reference Image will start a new shot with a new Sliding Window", "KI"), |
|
|
("Sparse Video to Video, one Image will by extracted from Video for each new Sliding Window", "RUV"), |
|
|
("Video to Video, amount of motion transferred depends on Denoising Strength", "GUV"), |
|
|
], |
|
|
"default": "KI", |
|
|
"letters_filter": "RGUVKI", |
|
|
"label": "Video to Video", |
|
|
"scale": 3, |
|
|
"show_label" : False, |
|
|
} |
|
|
|
|
|
extra_model_def["custom_video_selection"] = { |
|
|
"choices":[ |
|
|
("Smooth Transitions", ""), |
|
|
("Sharp Transitions", "0"), |
|
|
], |
|
|
"trigger": "", |
|
|
"label": "Custom Process", |
|
|
"letters_filter": "0", |
|
|
"show_label" : False, |
|
|
"scale": 1, |
|
|
} |
|
|
|
|
|
|
|
|
|
|
|
if base_model_type in ["lucy_edit"]: |
|
|
extra_model_def["keep_frames_video_guide_not_supported"] = True |
|
|
extra_model_def["guide_preprocessing"] = { |
|
|
"selection": ["UV"], |
|
|
"labels" : { "UV": "Control Video"}, |
|
|
"visible": False, |
|
|
} |
|
|
|
|
|
if base_model_type in ["animate"]: |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[ |
|
|
("Animate Person in Reference Image using Motion of Whole Control Video", "PVBKI"), |
|
|
("Animate Person in Reference Image using Motion of Targeted Person in Control Video", "PVBXAKI"), |
|
|
("Replace Person in Control Video by Person in Ref Image", "PVBAIH#"), |
|
|
("Replace Person in Control Video by Person in Ref Image. See Through Mask", "PVBAI#"), |
|
|
], |
|
|
"default": "PVBKI", |
|
|
"letters_filter": "PVBXAKIH#", |
|
|
"label": "Type of Process", |
|
|
"scale": 3, |
|
|
"show_label" : False, |
|
|
} |
|
|
|
|
|
extra_model_def["custom_video_selection"] = { |
|
|
"choices":[ |
|
|
("None", ""), |
|
|
("Apply Relighting", "1"), |
|
|
], |
|
|
"trigger": "#", |
|
|
"label": "Custom Process", |
|
|
"type": "checkbox", |
|
|
"letters_filter": "1", |
|
|
"show_label" : False, |
|
|
"scale": 1, |
|
|
} |
|
|
|
|
|
extra_model_def["mask_preprocessing"] = { |
|
|
"selection":[ "", "A", "XA"], |
|
|
"visible": False |
|
|
} |
|
|
|
|
|
extra_model_def["video_guide_outpainting"] = [0,1] |
|
|
extra_model_def["keep_frames_video_guide_not_supported"] = True |
|
|
extra_model_def["extract_guide_from_window_start"] = True |
|
|
extra_model_def["forced_guide_mask_inputs"] = True |
|
|
extra_model_def["no_background_removal"] = True |
|
|
extra_model_def["background_removal_label"]= "Remove Backgrounds behind People (Animate Mode Only)" |
|
|
extra_model_def["background_ref_outpainted"] = False |
|
|
extra_model_def["return_image_refs_tensor"] = True |
|
|
extra_model_def["guide_inpaint_color"] = 0 |
|
|
|
|
|
|
|
|
|
|
|
if vace_class: |
|
|
extra_model_def["control_net_weight_name"] = "Vace" |
|
|
extra_model_def["control_net_weight_size"] = 2 |
|
|
extra_model_def["guide_preprocessing"] = { |
|
|
"selection": ["", "UV", "PV", "DV", "SV", "LV", "CV", "MV", "V", "PDV", "PSV", "PLV" , "DSV", "DLV", "SLV"], |
|
|
"labels" : { "V": "Use Vace raw format"} |
|
|
} |
|
|
extra_model_def["mask_preprocessing"] = { |
|
|
"selection": ["", "A", "NA", "XA", "XNA", "YA", "YNA", "WA", "WNA", "ZA", "ZNA"], |
|
|
} |
|
|
|
|
|
extra_model_def["image_ref_choices"] = { |
|
|
"choices": [("None", ""), |
|
|
("People / Objects", "I"), |
|
|
("Landscape followed by People / Objects (if any)", "KI"), |
|
|
("Positioned Frames followed by People / Objects (if any)", "FI"), |
|
|
], |
|
|
"letters_filter": "KFI", |
|
|
} |
|
|
|
|
|
extra_model_def["background_removal_label"]= "Remove Backgrounds behind People / Objects, keep it for Landscape or Positioned Frames" |
|
|
extra_model_def["video_guide_outpainting"] = [0,1] |
|
|
extra_model_def["pad_guide_video"] = True |
|
|
extra_model_def["guide_inpaint_color"] = 127.5 |
|
|
extra_model_def["forced_guide_mask_inputs"] = True |
|
|
extra_model_def["return_image_refs_tensor"] = True |
|
|
extra_model_def["v2i_switch_supported"] = True |
|
|
if lynx: |
|
|
extra_model_def["set_video_prompt_type"]="Q" |
|
|
extra_model_def["control_net_weight_alt_name"] = "Lynx" |
|
|
extra_model_def["image_ref_choices"]["choices"] = [("None", ""), |
|
|
("People / Objects (if any) then a Face", "I"), |
|
|
("Landscape followed by People / Objects (if any) then a Face", "KI"), |
|
|
("Positioned Frames followed by People / Objects (if any) then a Face", "FI")] |
|
|
extra_model_def["background_removal_label"]= "Remove Backgrounds behind People / Objects, keep it for Landscape, Lynx Face or Positioned Frames" |
|
|
extra_model_def["no_processing_on_last_images_refs"] = 1 |
|
|
if base_model_type in ["vace_ditto_14B"]: |
|
|
del extra_model_def["guide_preprocessing"], extra_model_def["image_ref_choices"], extra_model_def["video_guide_outpainting"] |
|
|
extra_model_def["mask_preprocessing"] = { "selection": ["", "A"], } |
|
|
extra_model_def["model_modes"] = { |
|
|
"choices": [ |
|
|
("Global", 0), |
|
|
("Global Style", 1), |
|
|
("Sim 2 Real", 2)], |
|
|
"default": 0, |
|
|
"label" : "Ditto Process" |
|
|
} |
|
|
|
|
|
if base_model_type in ["chrono_edit"]: |
|
|
extra_model_def["model_modes"] = { |
|
|
"choices": [ |
|
|
("Fast Image Transformation", 0), |
|
|
("Long Image Transformation", 1), |
|
|
("Temporal Reasoning Video", 2),], |
|
|
"default": 0, |
|
|
"label" : "Chrono Edit Process" |
|
|
} |
|
|
extra_model_def["custom_video_length"] = True |
|
|
|
|
|
|
|
|
if (not vace_class) and standin: |
|
|
extra_model_def["v2i_switch_supported"] = True |
|
|
extra_model_def["image_ref_choices"] = { |
|
|
"choices": [ |
|
|
("No Reference Image", ""), |
|
|
("Reference Image is a Person Face", "I"), |
|
|
], |
|
|
"visible": False, |
|
|
"letters_filter":"I", |
|
|
} |
|
|
extra_model_def["one_image_ref_needed"] = True |
|
|
|
|
|
if (not vace_class) and lynx: |
|
|
extra_model_def["fit_into_canvas_image_refs"] = 0 |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[("Use Reference Image which is a Person Face", ""), |
|
|
("Video to Video guided by Text Prompt & Reference Image", "GUV"), |
|
|
("Video to Video on the Area of the Video Mask", "GVA")], |
|
|
"default": "", |
|
|
"letters_filter": "GUVA", |
|
|
"label": "Video to Video", |
|
|
"show_label" : False, |
|
|
} |
|
|
|
|
|
extra_model_def["mask_preprocessing"] = { |
|
|
"selection":[ "", "A"], |
|
|
"visible": False |
|
|
} |
|
|
|
|
|
extra_model_def["image_ref_choices"] = { |
|
|
"choices": [ |
|
|
("No Reference Image", ""), |
|
|
("Reference Image is a Person Face", "I"), |
|
|
], |
|
|
"visible": False, |
|
|
"letters_filter":"I", |
|
|
} |
|
|
extra_model_def["one_image_ref_needed"] = True |
|
|
extra_model_def["set_video_prompt_type"]= "Q" |
|
|
extra_model_def["no_background_removal"] = True |
|
|
extra_model_def["v2i_switch_supported"] = True |
|
|
extra_model_def["control_net_weight_alt_name"] = "Lynx" |
|
|
|
|
|
|
|
|
if base_model_type in ["phantom_1.3B", "phantom_14B"]: |
|
|
extra_model_def["image_ref_choices"] = { |
|
|
"choices": [("Reference Image", "I")], |
|
|
"letters_filter":"I", |
|
|
"visible": False, |
|
|
} |
|
|
|
|
|
if base_model_type in ["recam_1.3B"]: |
|
|
extra_model_def["keep_frames_video_guide_not_supported"] = True |
|
|
extra_model_def["model_modes"] = { |
|
|
"choices": [ |
|
|
("Pan Right", 1), |
|
|
("Pan Left", 2), |
|
|
("Tilt Up", 3), |
|
|
("Tilt Down", 4), |
|
|
("Zoom In", 5), |
|
|
("Zoom Out", 6), |
|
|
("Translate Up (with rotation)", 7), |
|
|
("Translate Down (with rotation)", 8), |
|
|
("Arc Left (with rotation)", 9), |
|
|
("Arc Right (with rotation)", 10), |
|
|
], |
|
|
"default": 1, |
|
|
"label" : "Camera Movement Type" |
|
|
} |
|
|
extra_model_def["guide_preprocessing"] = { |
|
|
"selection": ["UV"], |
|
|
"labels" : { "UV": "Control Video"}, |
|
|
"visible" : False, |
|
|
} |
|
|
extra_model_def["video_length_locked"] = 81 |
|
|
if base_model_type in ["chrono_edit"]: |
|
|
from .chono_edit_prompt import image_prompt_enhancer_instructions |
|
|
extra_model_def["image_prompt_enhancer_instructions"] = image_prompt_enhancer_instructions |
|
|
extra_model_def["video_prompt_enhancer_instructions"] = image_prompt_enhancer_instructions |
|
|
extra_model_def["image_outputs"] = True |
|
|
extra_model_def["prompt_enhancer_choices_allowed"] = ["TI"] |
|
|
|
|
|
if vace_class or base_model_type in ["animate", "t2v", "t2v_2_2", "lynx"] : |
|
|
image_prompt_types_allowed = "TVL" |
|
|
elif base_model_type in ["infinitetalk"]: |
|
|
image_prompt_types_allowed = "TSVL" |
|
|
elif base_model_type in ["ti2v_2_2"]: |
|
|
image_prompt_types_allowed = "TSVL" |
|
|
elif base_model_type in ["lucy_edit"]: |
|
|
image_prompt_types_allowed = "TVL" |
|
|
elif multitalk or base_model_type in ["fantasy", "steadydancer", "scail"] or svi2pro: |
|
|
image_prompt_types_allowed = "SVL" |
|
|
elif i2v: |
|
|
image_prompt_types_allowed = "SEVL" |
|
|
else: |
|
|
image_prompt_types_allowed = "" |
|
|
extra_model_def["image_prompt_types_allowed"] = image_prompt_types_allowed |
|
|
if base_model_type in ["mocha"]: |
|
|
extra_model_def["guide_custom_choices"] = { |
|
|
"choices":[ |
|
|
("Transfer Person In Reference Images (Second Image must be a Close Up) in Control Video", "VAI"), |
|
|
], |
|
|
"default": "VAI", |
|
|
"letters_filter": "VAI", |
|
|
"label": "Type of Process", |
|
|
"scale": 3, |
|
|
"show_label" : False, |
|
|
"visible": True, |
|
|
} |
|
|
extra_model_def["background_removal_color"] = [128, 128, 128] |
|
|
if base_model_type in ["fantasy"] or multitalk: |
|
|
extra_model_def["audio_guidance"] = True |
|
|
extra_model_def["NAG"] = vace_class or t2v or i2v |
|
|
|
|
|
if test_oneframe_overlap(base_model_type): |
|
|
extra_model_def["sliding_window_defaults"] = { "overlap_min" : 1, "overlap_max" : 1, "overlap_step": 0, "overlap_default": 1} |
|
|
elif svi2pro: |
|
|
extra_model_def["sliding_window_defaults"] = { "overlap_min" : 4, "overlap_max" : 4, "overlap_step": 0, "overlap_default": 4} |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
return extra_model_def |
|
|
|
|
|
|
|
|
@staticmethod |
|
|
def get_vae_block_size(base_model_type): |
|
|
return 32 if test_wan_5B(base_model_type) or base_model_type in ["scail"] else 16 |
|
|
|
|
|
@staticmethod |
|
|
def get_rgb_factors(base_model_type ): |
|
|
from shared.RGB_factors import get_rgb_factors |
|
|
if test_wan_5B(base_model_type): base_model_type = "ti2v_2_2" |
|
|
latent_rgb_factors, latent_rgb_factors_bias = get_rgb_factors("wan", base_model_type) |
|
|
return latent_rgb_factors, latent_rgb_factors_bias |
|
|
|
|
|
@staticmethod |
|
|
def query_model_files(computeList, base_model_type, model_def=None): |
|
|
if test_wan_5B(base_model_type): |
|
|
wan_files = [] |
|
|
else: |
|
|
wan_files = ["Wan2.1_VAE.safetensors", "Wan2.1_VAE_upscale2x_imageonly_real_v1.safetensors"] |
|
|
if base_model_type in ["fantasy"]: |
|
|
wan_files.append("fantasy_proj_model.safetensors") |
|
|
download_def = [{ |
|
|
"repoId" : "DeepBeepMeep/Wan2.1", |
|
|
"sourceFolderList" : ["xlm-roberta-large", "umt5-xxl", "" ], |
|
|
"fileList" : [ [ "models_clip_open-clip-xlm-roberta-large-vit-huge-14-bf16.safetensors", "sentencepiece.bpe.model", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json"], ["special_tokens_map.json", "spiece.model", "tokenizer.json", "tokenizer_config.json"], wan_files ] |
|
|
}] |
|
|
|
|
|
if base_model_type == "scail": |
|
|
|
|
|
download_def += [ |
|
|
{ |
|
|
"repoId": "DeepBeepMeep/Wan2.1", |
|
|
"sourceFolderList": ["pose"], |
|
|
"fileList": [["nlf_l_multi_0.3.2.eager.safetensors", "nlf_l_multi_0.3.2.eager.meta.json"]], |
|
|
} |
|
|
] |
|
|
|
|
|
if test_wan_5B(base_model_type): |
|
|
download_def += [ { |
|
|
"repoId" : "DeepBeepMeep/Wan2.2", |
|
|
"sourceFolderList" : [""], |
|
|
"fileList" : [ [ "Wan2.2_VAE.safetensors"] ] |
|
|
}] |
|
|
|
|
|
return download_def |
|
|
|
|
|
@staticmethod |
|
|
def custom_preprocess(base_model_type, video_guide, video_mask, pre_video_guide=None, max_workers = 1, expand_scale = 0, video_prompt_type = None, **kwargs): |
|
|
from shared.utils.utils import convert_tensor_to_image |
|
|
|
|
|
ref_image = convert_tensor_to_image(pre_video_guide[:, 0]) |
|
|
frames = video_guide |
|
|
mask_frames = None if video_mask is None else video_mask |
|
|
|
|
|
if base_model_type == "scail": |
|
|
extract_max_people = lambda s: int(m.group(1)) if (m := re.search(r'#(\d+)#', s)) else 1 |
|
|
|
|
|
|
|
|
from .scail import ScailPoseProcessor |
|
|
scail_max_people = extract_max_people(video_prompt_type) |
|
|
scail_multi_person = scail_max_people > 1 |
|
|
processor = ScailPoseProcessor(multi_person=scail_multi_person, max_people=scail_max_people) |
|
|
video_guide_processed = processor.extract_and_render( |
|
|
frames, |
|
|
ref_image=ref_image, |
|
|
mask_frames=mask_frames, |
|
|
align_pose=True |
|
|
) |
|
|
if video_guide_processed.numel() == 0: |
|
|
gr.Info("Unable to detect a Person") |
|
|
return None, None, None, None |
|
|
return video_guide_processed, None, video_mask, None |
|
|
else: |
|
|
|
|
|
from .steadydancer.pose_align import PoseAligner |
|
|
aligner = PoseAligner() |
|
|
outputs = aligner.align(frames, ref_image, ref_video_mask=None, align_frame=0, max_frames=None, augment=True, include_composite=False, cpu_resize_workers=max_workers, expand_scale=expand_scale) |
|
|
|
|
|
video_guide_processed, video_guide_processed2 = outputs["pose_only"], outputs["pose_aug"] |
|
|
if video_guide_processed.numel() == 0: |
|
|
return None, None, None, None |
|
|
|
|
|
return video_guide_processed, video_guide_processed2, None, None |
|
|
|
|
|
|
|
|
@staticmethod |
|
|
def load_model(model_filename, model_type, base_model_type, model_def, quantizeTransformer = False, text_encoder_quantization = None, dtype = torch.bfloat16, VAE_dtype = torch.float32, mixed_precision_transformer = False, save_quantized= False, submodel_no_list = None, text_encoder_filename = None, VAE_upsampling = None, **kwargs): |
|
|
from .configs import WAN_CONFIGS |
|
|
|
|
|
if test_class_i2v(base_model_type): |
|
|
cfg = WAN_CONFIGS['i2v-14B'] |
|
|
else: |
|
|
cfg = WAN_CONFIGS['t2v-14B'] |
|
|
|
|
|
from . import WanAny2V |
|
|
wan_model = WanAny2V( |
|
|
config=cfg, |
|
|
checkpoint_dir="ckpts", |
|
|
model_filename=model_filename, |
|
|
submodel_no_list = submodel_no_list, |
|
|
model_type = model_type, |
|
|
model_def = model_def, |
|
|
base_model_type=base_model_type, |
|
|
text_encoder_filename= text_encoder_filename, |
|
|
quantizeTransformer = quantizeTransformer, |
|
|
dtype = dtype, |
|
|
VAE_dtype = VAE_dtype, |
|
|
mixed_precision_transformer = mixed_precision_transformer, |
|
|
save_quantized = save_quantized, |
|
|
VAE_upsampling = VAE_upsampling, |
|
|
) |
|
|
|
|
|
pipe = {"transformer": wan_model.model, "text_encoder" : wan_model.text_encoder.model, "vae": wan_model.vae.model } |
|
|
if wan_model.vae2 is not None: |
|
|
pipe["vae2"] = wan_model.vae2.model |
|
|
if hasattr(wan_model,"model2") and wan_model.model2 is not None: |
|
|
pipe["transformer2"] = wan_model.model2 |
|
|
if hasattr(wan_model, "clip"): |
|
|
pipe["text_encoder_2"] = wan_model.clip.model |
|
|
return wan_model, pipe |
|
|
|
|
|
@staticmethod |
|
|
def fix_settings(base_model_type, settings_version, model_def, ui_defaults): |
|
|
if ui_defaults.get("sample_solver", "") == "": |
|
|
ui_defaults["sample_solver"] = "unipc" |
|
|
|
|
|
if settings_version < 2.24: |
|
|
if (model_def.get("multiple_submodels", False) or ui_defaults.get("switch_threshold", 0) > 0) and ui_defaults.get("guidance_phases",0)<2: |
|
|
ui_defaults["guidance_phases"] = 2 |
|
|
|
|
|
if settings_version == 2.24 and ui_defaults.get("guidance_phases",0) ==2: |
|
|
mult = model_def.get("loras_multipliers","") |
|
|
if len(mult)> 1 and len(mult[0].split(";"))==3: ui_defaults["guidance_phases"] = 3 |
|
|
|
|
|
if settings_version < 2.27: |
|
|
if base_model_type in "infinitetalk": |
|
|
guidance_scale = ui_defaults.get("guidance_scale", None) |
|
|
if guidance_scale == 1: |
|
|
ui_defaults["audio_guidance_scale"]= 1 |
|
|
video_prompt_type = ui_defaults.get("video_prompt_type", "") |
|
|
if "I" in video_prompt_type: |
|
|
video_prompt_type = video_prompt_type.replace("KI", "0KI") |
|
|
ui_defaults["video_prompt_type"] = video_prompt_type |
|
|
|
|
|
if settings_version < 2.28: |
|
|
if base_model_type in "infinitetalk": |
|
|
video_prompt_type = ui_defaults.get("video_prompt_type", "") |
|
|
if "U" in video_prompt_type: |
|
|
video_prompt_type = video_prompt_type.replace("U", "RU") |
|
|
ui_defaults["video_prompt_type"] = video_prompt_type |
|
|
|
|
|
if settings_version < 2.31: |
|
|
if base_model_type in ["recam_1.3B"]: |
|
|
video_prompt_type = ui_defaults.get("video_prompt_type", "") |
|
|
if not "V" in video_prompt_type: |
|
|
video_prompt_type += "UV" |
|
|
ui_defaults["video_prompt_type"] = video_prompt_type |
|
|
ui_defaults["image_prompt_type"] = "" |
|
|
|
|
|
if test_oneframe_overlap(base_model_type): |
|
|
ui_defaults["sliding_window_overlap"] = 1 |
|
|
|
|
|
if settings_version < 2.32: |
|
|
image_prompt_type = ui_defaults.get("image_prompt_type", "") |
|
|
if test_class_i2v(base_model_type) and len(image_prompt_type) == 0 and "S" in model_def.get("image_prompt_types_allowed",""): |
|
|
ui_defaults["image_prompt_type"] = "S" |
|
|
|
|
|
|
|
|
if settings_version < 2.37: |
|
|
if base_model_type in ["animate"]: |
|
|
video_prompt_type = ui_defaults.get("video_prompt_type", "") |
|
|
if "1" in video_prompt_type: |
|
|
video_prompt_type = video_prompt_type.replace("1", "#1") |
|
|
ui_defaults["video_prompt_type"] = video_prompt_type |
|
|
|
|
|
if settings_version < 2.38: |
|
|
if base_model_type in ["infinitetalk"]: |
|
|
video_prompt_type = ui_defaults.get("video_prompt_type", "") |
|
|
if "Q" in video_prompt_type: |
|
|
video_prompt_type = video_prompt_type.replace("Q", "0") |
|
|
ui_defaults["video_prompt_type"] = video_prompt_type |
|
|
|
|
|
if settings_version < 2.39: |
|
|
if base_model_type in ["fantasy"]: |
|
|
audio_prompt_type = ui_defaults.get("audio_prompt_type", "") |
|
|
if not "A" in audio_prompt_type: |
|
|
audio_prompt_type += "A" |
|
|
ui_defaults["audio_prompt_type"] = audio_prompt_type |
|
|
|
|
|
if settings_version < 2.40: |
|
|
if base_model_type in ["animate"]: |
|
|
remove_background_images_ref = ui_defaults.get("remove_background_images_ref", None) |
|
|
if remove_background_images_ref !=0: |
|
|
ui_defaults["remove_background_images_ref"] = 0 |
|
|
|
|
|
if settings_version < 2.42 and test_svi2pro(base_model_type): |
|
|
ui_defaults.update({ |
|
|
"sliding_window_size": 81, |
|
|
"sliding_window_overlap" : 4, |
|
|
}) |
|
|
|
|
|
@staticmethod |
|
|
def update_default_settings(base_model_type, model_def, ui_defaults): |
|
|
ui_defaults.update({ |
|
|
"sample_solver": "unipc", |
|
|
}) |
|
|
if test_class_i2v(base_model_type) and "S" in model_def["image_prompt_types_allowed"]: |
|
|
ui_defaults["image_prompt_type"] = "S" |
|
|
|
|
|
if base_model_type in ["fantasy"]: |
|
|
ui_defaults.update({ |
|
|
"audio_guidance_scale": 5.0, |
|
|
"sliding_window_overlap" : 1, |
|
|
"audio_prompt_type": "A", |
|
|
}) |
|
|
|
|
|
elif base_model_type in ["multitalk"]: |
|
|
ui_defaults.update({ |
|
|
"guidance_scale": 5.0, |
|
|
"flow_shift": 7, |
|
|
"sliding_window_discard_last_frames" : 4, |
|
|
"sample_solver" : "euler", |
|
|
"audio_prompt_type": "A", |
|
|
"adaptive_switch" : 1, |
|
|
}) |
|
|
|
|
|
elif base_model_type in ["infinitetalk"]: |
|
|
ui_defaults.update({ |
|
|
"guidance_scale": 5.0, |
|
|
"flow_shift": 7, |
|
|
"sliding_window_overlap" : 9, |
|
|
"sliding_window_size": 81, |
|
|
"sample_solver" : "euler", |
|
|
"video_prompt_type": "0KI", |
|
|
"remove_background_images_ref" : 0, |
|
|
"adaptive_switch" : 1, |
|
|
}) |
|
|
|
|
|
elif base_model_type in ["standin"]: |
|
|
ui_defaults.update({ |
|
|
"guidance_scale": 5.0, |
|
|
"flow_shift": 7, |
|
|
"sliding_window_overlap" : 9, |
|
|
"video_prompt_type": "I", |
|
|
"remove_background_images_ref" : 1 , |
|
|
}) |
|
|
|
|
|
elif (base_model_type in ["lynx_lite", "lynx", "alpha_lynx"]): |
|
|
ui_defaults.update({ |
|
|
"guidance_scale": 5.0, |
|
|
"flow_shift": 7, |
|
|
"sliding_window_overlap" : 9, |
|
|
"video_prompt_type": "I", |
|
|
"denoising_strength": 0.8, |
|
|
"remove_background_images_ref" : 0, |
|
|
}) |
|
|
|
|
|
elif base_model_type in ["phantom_1.3B", "phantom_14B"]: |
|
|
ui_defaults.update({ |
|
|
"guidance_scale": 7.5, |
|
|
"flow_shift": 5, |
|
|
"remove_background_images_ref": 1, |
|
|
"video_prompt_type": "I", |
|
|
|
|
|
}) |
|
|
|
|
|
elif base_model_type in ["vace_14B", "vace_multitalk_14B"]: |
|
|
ui_defaults.update({ |
|
|
"sliding_window_discard_last_frames": 0, |
|
|
}) |
|
|
|
|
|
elif base_model_type in ["ti2v_2_2"]: |
|
|
ui_defaults.update({ |
|
|
"image_prompt_type": "T", |
|
|
}) |
|
|
|
|
|
if base_model_type in ["recam_1.3B", "lucy_edit"]: |
|
|
ui_defaults.update({ |
|
|
"video_prompt_type": "UV", |
|
|
}) |
|
|
elif base_model_type in ["animate"]: |
|
|
ui_defaults.update({ |
|
|
"video_prompt_type": "PVBKI", |
|
|
"mask_expand": 20, |
|
|
"audio_prompt_type": "R", |
|
|
"remove_background_images_ref" : 0, |
|
|
"force_fps": "control", |
|
|
}) |
|
|
elif base_model_type in ["vace_ditto_14B"]: |
|
|
ui_defaults.update({ |
|
|
"video_prompt_type": "V", |
|
|
}) |
|
|
elif base_model_type in ["mocha"]: |
|
|
ui_defaults.update({ |
|
|
"video_prompt_type": "VAI", |
|
|
"audio_prompt_type": "R", |
|
|
"force_fps": "control", |
|
|
}) |
|
|
elif base_model_type in ["steadydancer"]: |
|
|
ui_defaults.update({ |
|
|
"video_prompt_type": "VA", |
|
|
"image_prompt_type": "S", |
|
|
"audio_prompt_type": "R", |
|
|
"force_fps": "control", |
|
|
"alt_guidance_scale" : 2.0, |
|
|
}) |
|
|
elif base_model_type in ["scail"]: |
|
|
ui_defaults.update({ |
|
|
"video_prompt_type": "V#1#", |
|
|
"image_prompt_type": "S", |
|
|
"audio_prompt_type": "R", |
|
|
"force_fps": "control", |
|
|
"sliding_window_overlap" : 1, |
|
|
"sliding_window_size": 81, |
|
|
}) |
|
|
|
|
|
if test_svi2pro(base_model_type): |
|
|
ui_defaults.update({ |
|
|
"sliding_window_size": 81, |
|
|
"sliding_window_overlap" : 4, |
|
|
}) |
|
|
|
|
|
if test_wan_5B(base_model_type): |
|
|
ui_defaults.update({ |
|
|
"sliding_window_size": 121, |
|
|
}) |
|
|
|
|
|
if base_model_type in ["i2v_2_2"]: |
|
|
ui_defaults.update({"masking_strength": 0.1, "denoising_strength": 0.9}) |
|
|
|
|
|
if base_model_type in ["chrono_edit"]: |
|
|
ui_defaults.update({"image_mode": 1, "prompt_enhancer":"TI"}) |
|
|
|
|
|
if test_oneframe_overlap(base_model_type): |
|
|
ui_defaults["sliding_window_overlap"] = 1 |
|
|
ui_defaults["sliding_window_color_correction_strength"]= 0 |
|
|
|
|
|
if test_multitalk(base_model_type): |
|
|
ui_defaults["audio_guidance_scale"] = 4 |
|
|
|
|
|
if model_def.get("multiple_submodels", False): |
|
|
ui_defaults["guidance_phases"] = 2 |
|
|
|
|
|
@staticmethod |
|
|
def validate_generative_settings(base_model_type, model_def, inputs): |
|
|
if base_model_type in ["infinitetalk"]: |
|
|
video_source = inputs["video_source"] |
|
|
image_refs = inputs["image_refs"] |
|
|
video_prompt_type = inputs["video_prompt_type"] |
|
|
image_prompt_type = inputs["image_prompt_type"] |
|
|
if ("V" in image_prompt_type or "L" in image_prompt_type) and image_refs is None: |
|
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video_prompt_type = video_prompt_type.replace("I", "").replace("K","") |
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inputs["video_prompt_type"] = video_prompt_type |
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elif base_model_type in ["vace_standin_14B", "vace_lynx_14B"]: |
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image_refs = inputs["image_refs"] |
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video_prompt_type = inputs["video_prompt_type"] |
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if image_refs is not None and len(image_refs) == 1 and "K" in video_prompt_type: |
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gr.Info("Warning, Ref Image that contains the Face to transfer is Missing: if 'Landscape and then People or Objects' is selected beside the Landscape Image Ref there should be another Image Ref that contains a Face.") |
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elif base_model_type in ["chrono_edit"]: |
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model_mode = inputs["model_mode"] |
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inputs["video_length"] = 5 if model_mode==0 else 29 |
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inputs["image_mode"] = 0 if model_mode==2 else 1 |
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|
