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import torch
from shared.utils import files_locator as fl
def get_hunyuan_text_encoder_filename(text_encoder_quantization):
if text_encoder_quantization =="int8":
text_encoder_filename = "llava-llama-3-8b/llava-llama-3-8b-v1_1_vlm_quanto_int8.safetensors"
else:
text_encoder_filename = "llava-llama-3-8b/llava-llama-3-8b-v1_1_vlm_fp16.safetensors"
return fl.locate_file(text_encoder_filename, True)
class family_handler():
@staticmethod
def set_cache_parameters(cache_type, base_model_type, model_def, inputs, skip_steps_cache):
resolution = inputs["resolution"]
width, height = resolution.split("x")
pixels = int(width) * int(height)
if cache_type == "mag":
skip_steps_cache.update({
"magcache_thresh" : 0,
"magcache_K" : 2,
})
if pixels >= 1280* 720:
skip_steps_cache.def_mag_ratios = [1.0754, 1.27807, 1.11596, 1.09504, 1.05188, 1.00844, 1.05779, 1.00657, 1.04142, 1.03101, 1.00679, 1.02556, 1.00908, 1.06949, 1.05438, 1.02214, 1.02321, 1.03019, 1.00779, 1.03381, 1.01886, 1.01161, 1.02968, 1.00544, 1.02822, 1.00689, 1.02119, 1.0105, 1.01044, 1.01572, 1.02972, 1.0094, 1.02368, 1.0226, 0.98965, 1.01588, 1.02146, 1.0018, 1.01687, 0.99436, 1.00283, 1.01139, 0.97122, 0.98251, 0.94513, 0.97656, 0.90943, 0.85703, 0.75456]
else:
skip_steps_cache.def_mag_ratios = [1.06971, 1.29073, 1.11245, 1.09596, 1.05233, 1.01415, 1.05672, 1.00848, 1.03632, 1.02974, 1.00984, 1.03028, 1.00681, 1.06614, 1.05022, 1.02592, 1.01776, 1.02985, 1.00726, 1.03727, 1.01502, 1.00992, 1.03371, 0.9976, 1.02742, 1.0093, 1.01869, 1.00815, 1.01461, 1.01152, 1.03082, 1.0061, 1.02162, 1.01999, 0.99063, 1.01186, 1.0217, 0.99947, 1.01711, 0.9904, 1.00258, 1.00878, 0.97039, 0.97686, 0.94315, 0.97728, 0.91154, 0.86139, 0.76592]
else:
skip_steps_cache.coefficients = [7.33226126e+02, -4.01131952e+02, 6.75869174e+01, -3.14987800e+00, 9.61237896e-02]
@staticmethod
def query_model_def(base_model_type, model_def):
extra_model_def = {}
if base_model_type in ["hunyuan_avatar", "hunyuan_custom_audio"]:
fps = 25
elif base_model_type in ["hunyuan", "hunyuan_i2v", "hunyuan_custom_edit", "hunyuan_custom"]:
fps = 24
else:
fps = 16
extra_model_def["fps"] = fps
extra_model_def["frames_minimum"] = 5
extra_model_def["frames_steps"] = 4
extra_model_def["sliding_window"] = False
if base_model_type in ["hunyuan", "hunyuan_i2v"]:
extra_model_def["embedded_guidance"] = True
else:
extra_model_def["guidance_max_phases"] = 1
extra_model_def["cfg_star"] = base_model_type in [ "hunyuan_avatar", "hunyuan_custom_audio", "hunyuan_custom_edit", "hunyuan_custom"]
extra_model_def["tea_cache"] = True
extra_model_def["mag_cache"] = True
if base_model_type in ["hunyuan_custom_edit"]:
extra_model_def["guide_preprocessing"] = {
"selection": ["MV", "PV"],
}
extra_model_def["mask_preprocessing"] = {
"selection": ["A", "NA"],
"default" : "NA"
}
if base_model_type in ["hunyuan_custom_audio", "hunyuan_custom_edit", "hunyuan_custom"]:
extra_model_def["image_ref_choices"] = {
"choices": [("Reference Image", "I")],
"letters_filter":"I",
"visible": False,
}
if base_model_type in ["hunyuan_avatar"]:
extra_model_def["image_ref_choices"] = {
"choices": [("Start Image", "KI")],
"letters_filter":"KI",
"visible": False,
}
extra_model_def["no_background_removal"] = True
if base_model_type in ["hunyuan_custom", "hunyuan_custom_edit", "hunyuan_custom_audio", "hunyuan_avatar"]:
extra_model_def["one_image_ref_needed"] = True
if base_model_type in ["hunyuan_i2v"]:
extra_model_def["image_prompt_types_allowed"] = "S"
return extra_model_def
@staticmethod
def query_supported_types():
return ["hunyuan", "hunyuan_i2v", "hunyuan_custom", "hunyuan_custom_audio", "hunyuan_custom_edit", "hunyuan_avatar"]
@staticmethod
def query_family_maps():
models_eqv_map = {
}
models_comp_map = {
"hunyuan_custom": ["hunyuan_custom_edit", "hunyuan_custom_audio"],
}
return models_eqv_map, models_comp_map
@staticmethod
def query_model_family():
return "hunyuan"
@staticmethod
def query_family_infos():
return {"hunyuan":(20, "Hunyuan Video")}
@staticmethod
def get_rgb_factors(base_model_type ):
from shared.RGB_factors import get_rgb_factors
latent_rgb_factors, latent_rgb_factors_bias = get_rgb_factors("hunyuan")
return latent_rgb_factors, latent_rgb_factors_bias
@staticmethod
def query_model_files(computeList, base_model_type, model_filename, text_encoder_quantization):
text_encoder_filename = get_hunyuan_text_encoder_filename(text_encoder_quantization)
return {
"repoId" : "DeepBeepMeep/HunyuanVideo",
"sourceFolderList" : [ "llava-llama-3-8b", "clip_vit_large_patch14", "whisper-tiny" , "det_align", "" ],
"fileList" :[ ["config.json", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json", "preprocessor_config.json"] + computeList(text_encoder_filename) ,
["config.json", "merges.txt", "model.safetensors", "preprocessor_config.json", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json", "vocab.json"],
["config.json", "model.safetensors", "preprocessor_config.json", "special_tokens_map.json", "tokenizer_config.json"],
["detface.pt"],
[ "hunyuan_video_720_quanto_int8_map.json", "hunyuan_video_custom_VAE_fp32.safetensors", "hunyuan_video_custom_VAE_config.json", "hunyuan_video_VAE_fp32.safetensors", "hunyuan_video_VAE_config.json" , "hunyuan_video_720_quanto_int8_map.json" ] + computeList(model_filename)
]
}
@staticmethod
def load_model(model_filename, model_type = None, base_model_type = None, model_def = None, quantizeTransformer = False, text_encoder_quantization = None, dtype = torch.bfloat16, VAE_dtype = torch.float32, mixed_precision_transformer = False, save_quantized = False, submodel_no_list = None):
from .hunyuan import HunyuanVideoSampler
from mmgp import offload
hunyuan_model = HunyuanVideoSampler.from_pretrained(
model_filepath = model_filename,
model_type = model_type,
base_model_type = base_model_type,
text_encoder_filepath = get_hunyuan_text_encoder_filename(text_encoder_quantization),
dtype = dtype,
quantizeTransformer = quantizeTransformer,
VAE_dtype = VAE_dtype,
mixed_precision_transformer = mixed_precision_transformer,
save_quantized = save_quantized
)
pipe = { "transformer" : hunyuan_model.model, "text_encoder" : hunyuan_model.text_encoder, "text_encoder_2" : hunyuan_model.text_encoder_2, "vae" : hunyuan_model.vae }
if hunyuan_model.wav2vec != None:
pipe["wav2vec"] = hunyuan_model.wav2vec
# if hunyuan_model.align_instance != None:
# pipe["align_instance"] = hunyuan_model.align_instance.facedet.model
from .modules.models import get_linear_split_map
split_linear_modules_map = get_linear_split_map()
hunyuan_model.model.split_linear_modules_map = split_linear_modules_map
offload.split_linear_modules(hunyuan_model.model, split_linear_modules_map )
return hunyuan_model, pipe
@staticmethod
def fix_settings(base_model_type, settings_version, model_def, ui_defaults):
if settings_version<2.33:
if base_model_type in ["hunyuan_custom_edit"]:
video_prompt_type= ui_defaults["video_prompt_type"]
if "P" in video_prompt_type and "M" in video_prompt_type:
video_prompt_type = video_prompt_type.replace("M","")
ui_defaults["video_prompt_type"] = video_prompt_type
if settings_version < 2.36:
if base_model_type in ["hunyuan_avatar", "hunyuan_custom_audio"]:
audio_prompt_type= ui_defaults["audio_prompt_type"]
if "A" not in audio_prompt_type:
audio_prompt_type += "A"
ui_defaults["audio_prompt_type"] = audio_prompt_type
@staticmethod
def update_default_settings(base_model_type, model_def, ui_defaults):
ui_defaults["embedded_guidance_scale"]= 6.0
if base_model_type in ["hunyuan","hunyuan_i2v"]:
ui_defaults.update({
"guidance_scale": 7.0,
})
elif base_model_type in ["hunyuan_custom"]:
ui_defaults.update({
"guidance_scale": 7.5,
"flow_shift": 13,
"resolution": "1280x720",
"video_prompt_type": "I",
})
elif base_model_type in ["hunyuan_custom_audio"]:
ui_defaults.update({
"guidance_scale": 7.5,
"flow_shift": 13,
"video_prompt_type": "I",
"audio_prompt_type": "A",
})
elif base_model_type in ["hunyuan_custom_edit"]:
ui_defaults.update({
"guidance_scale": 7.5,
"flow_shift": 13,
"video_prompt_type": "MVAI",
"sliding_window_size": 129,
})
elif base_model_type in ["hunyuan_avatar"]:
ui_defaults.update({
"guidance_scale": 7.5,
"flow_shift": 5,
"remove_background_images_ref": 0,
"skip_steps_start_step_perc": 25,
"video_length": 129,
"video_prompt_type": "KI",
"audio_prompt_type": "A",
})
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