Spaces:
Running
Running
File size: 17,192 Bytes
613c9ab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 |
from pathlib import Path
import torch
import comfy.sample as comfy_sample
from comfy.model_patcher import ModelPatcher
from .ad_settings import AdjustPEGroup, AnimateDiffSettings, AdjustPE
from .context import ContextOptions, ContextOptionsGroup, ContextSchedules
from .logger import logger
from .utils_model import BetaSchedules, get_available_motion_loras, get_available_motion_models, get_motion_lora_path
from .utils_motion import ADKeyframeGroup, get_combined_multival
from .motion_lora import MotionLoraInfo, MotionLoraList
from .model_injection import InjectionParams, ModelPatcherAndInjector, MotionModelGroup, load_motion_lora_as_patches, load_motion_module_gen1, load_motion_module_gen2, validate_model_compatibility_gen2
from .sample_settings import SampleSettings, SeedNoiseGeneration
from .sampling import motion_sample_factory
class AnimateDiffLoaderGen1:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": ("MODEL",),
"model_name": (get_available_motion_models(),),
"beta_schedule": (BetaSchedules.ALIAS_LIST, {"default": BetaSchedules.AUTOSELECT}),
#"apply_mm_groupnorm_hack": ("BOOLEAN", {"default": True}),
},
"optional": {
"context_options": ("CONTEXT_OPTIONS",),
"motion_lora": ("MOTION_LORA",),
"ad_settings": ("AD_SETTINGS",),
"ad_keyframes": ("AD_KEYFRAMES",),
"sample_settings": ("SAMPLE_SETTINGS",),
"scale_multival": ("MULTIVAL",),
"effect_multival": ("MULTIVAL",),
}
}
RETURN_TYPES = ("MODEL",)
CATEGORY = "Animate Diff 🎭🅐🅓/① Gen1 nodes ①"
FUNCTION = "load_mm_and_inject_params"
def load_mm_and_inject_params(self,
model: ModelPatcher,
model_name: str, beta_schedule: str,# apply_mm_groupnorm_hack: bool,
context_options: ContextOptionsGroup=None, motion_lora: MotionLoraList=None, ad_settings: AnimateDiffSettings=None,
sample_settings: SampleSettings=None, scale_multival=None, effect_multival=None, ad_keyframes: ADKeyframeGroup=None,
):
# load motion module and motion settings, if included
motion_model = load_motion_module_gen2(model_name=model_name, motion_model_settings=ad_settings)
# confirm that it is compatible with SD model
validate_model_compatibility_gen2(model=model, motion_model=motion_model)
# apply motion model to loaded_mm
if motion_lora is not None:
for lora in motion_lora.loras:
load_motion_lora_as_patches(motion_model, lora)
motion_model.scale_multival = scale_multival
motion_model.effect_multival = effect_multival
motion_model.keyframes = ad_keyframes.clone() if ad_keyframes else ADKeyframeGroup()
# create injection params
params = InjectionParams(unlimited_area_hack=False, model_name=motion_model.model.mm_info.mm_name)
# apply context options
if context_options:
params.set_context(context_options)
# set motion_scale and motion_model_settings
if not ad_settings:
ad_settings = AnimateDiffSettings()
ad_settings.attn_scale = 1.0
params.set_motion_model_settings(ad_settings)
# backwards compatibility to support old way of masking scale
if params.motion_model_settings.mask_attn_scale is not None:
motion_model.scale_multival = get_combined_multival(scale_multival, (params.motion_model_settings.mask_attn_scale * params.motion_model_settings.attn_scale))
# need to use a ModelPatcher that supports injection of motion modules into unet
# need to use a ModelPatcher that supports injection of motion modules into unet
model = ModelPatcherAndInjector(model)
model.motion_models = MotionModelGroup(motion_model)
model.sample_settings = sample_settings if sample_settings is not None else SampleSettings()
model.motion_injection_params = params
if model.sample_settings.custom_cfg is not None:
logger.info("[Sample Settings] custom_cfg is set; will override any KSampler cfg values or patches.")
if model.sample_settings.sigma_schedule is not None:
logger.info("[Sample Settings] sigma_schedule is set; will override beta_schedule.")
model.add_object_patch("model_sampling", model.sample_settings.sigma_schedule.clone().model_sampling)
else:
# save model sampling from BetaSchedule as object patch
# if autoselect, get suggested beta_schedule from motion model
if beta_schedule == BetaSchedules.AUTOSELECT and not model.motion_models.is_empty():
beta_schedule = model.motion_models[0].model.get_best_beta_schedule(log=True)
new_model_sampling = BetaSchedules.to_model_sampling(beta_schedule, model)
if new_model_sampling is not None:
model.add_object_patch("model_sampling", new_model_sampling)
del motion_model
return (model,)
class LegacyAnimateDiffLoaderWithContext:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": ("MODEL",),
"model_name": (get_available_motion_models(),),
"beta_schedule": (BetaSchedules.ALIAS_LIST, {"default": BetaSchedules.AUTOSELECT}),
#"apply_mm_groupnorm_hack": ("BOOLEAN", {"default": True}),
},
"optional": {
"context_options": ("CONTEXT_OPTIONS",),
"motion_lora": ("MOTION_LORA",),
"ad_settings": ("AD_SETTINGS",),
"sample_settings": ("SAMPLE_SETTINGS",),
"motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
"apply_v2_models_properly": ("BOOLEAN", {"default": True}),
"ad_keyframes": ("AD_KEYFRAMES",),
}
}
RETURN_TYPES = ("MODEL",)
CATEGORY = "Animate Diff 🎭🅐🅓/① Gen1 nodes ①"
FUNCTION = "load_mm_and_inject_params"
def load_mm_and_inject_params(self,
model: ModelPatcher,
model_name: str, beta_schedule: str,# apply_mm_groupnorm_hack: bool,
context_options: ContextOptionsGroup=None, motion_lora: MotionLoraList=None, ad_settings: AnimateDiffSettings=None, motion_model_settings: AnimateDiffSettings=None,
sample_settings: SampleSettings=None, motion_scale: float=1.0, apply_v2_models_properly: bool=False, ad_keyframes: ADKeyframeGroup=None,
):
if ad_settings is not None:
motion_model_settings = ad_settings
# load motion module
motion_model = load_motion_module_gen1(model_name, model, motion_lora=motion_lora, motion_model_settings=motion_model_settings)
# set injection params
params = InjectionParams(
unlimited_area_hack=False,
model_name=model_name,
apply_v2_properly=apply_v2_models_properly,
)
if context_options:
params.set_context(context_options)
# set motion_scale and motion_model_settings
if not motion_model_settings:
motion_model_settings = AnimateDiffSettings()
motion_model_settings.attn_scale = motion_scale
params.set_motion_model_settings(motion_model_settings)
if params.motion_model_settings.mask_attn_scale is not None:
motion_model.scale_multival = params.motion_model_settings.mask_attn_scale * params.motion_model_settings.attn_scale
else:
motion_model.scale_multival = params.motion_model_settings.attn_scale
motion_model.keyframes = ad_keyframes.clone() if ad_keyframes else ADKeyframeGroup()
model = ModelPatcherAndInjector(model)
model.motion_models = MotionModelGroup(motion_model)
model.sample_settings = sample_settings if sample_settings is not None else SampleSettings()
model.motion_injection_params = params
# save model sampling from BetaSchedule as object patch
# if autoselect, get suggested beta_schedule from motion model
if beta_schedule == BetaSchedules.AUTOSELECT and not model.motion_models.is_empty():
beta_schedule = model.motion_models[0].model.get_best_beta_schedule(log=True)
new_model_sampling = BetaSchedules.to_model_sampling(beta_schedule, model)
if new_model_sampling is not None:
model.add_object_patch("model_sampling", new_model_sampling)
del motion_model
return (model,)
class AnimateDiffModelSettings:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"min_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
"max_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
},
"optional": {
"mask_motion_scale": ("MASK",),
}
}
RETURN_TYPES = ("AD_SETTINGS",)
CATEGORY = "" #"Animate Diff 🎭🅐🅓/① Gen1 nodes ①/motion settings"
FUNCTION = "get_motion_model_settings"
def get_motion_model_settings(self, mask_motion_scale: torch.Tensor=None, min_motion_scale: float=1.0, max_motion_scale: float=1.0):
motion_model_settings = AnimateDiffSettings(
mask_attn_scale=mask_motion_scale,
mask_attn_scale_min=min_motion_scale,
mask_attn_scale_max=max_motion_scale,
)
return (motion_model_settings,)
class AnimateDiffModelSettingsSimple:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"motion_pe_stretch": ("INT", {"default": 0, "min": 0, "step": 1}),
},
"optional": {
"mask_motion_scale": ("MASK",),
"min_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
"max_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
}
}
RETURN_TYPES = ("AD_SETTINGS",)
CATEGORY = "" #"Animate Diff 🎭🅐🅓/① Gen1 nodes ①/motion settings/experimental"
FUNCTION = "get_motion_model_settings"
def get_motion_model_settings(self, motion_pe_stretch: int,
mask_motion_scale: torch.Tensor=None, min_motion_scale: float=1.0, max_motion_scale: float=1.0):
adjust_pe = AdjustPEGroup(AdjustPE(motion_pe_stretch=motion_pe_stretch))
motion_model_settings = AnimateDiffSettings(
adjust_pe=adjust_pe,
mask_attn_scale=mask_motion_scale,
mask_attn_scale_min=min_motion_scale,
mask_attn_scale_max=max_motion_scale,
)
return (motion_model_settings,)
class AnimateDiffModelSettingsAdvanced:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"other_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"motion_pe_stretch": ("INT", {"default": 0, "min": 0, "step": 1}),
"cap_initial_pe_length": ("INT", {"default": 0, "min": 0, "step": 1}),
"interpolate_pe_to_length": ("INT", {"default": 0, "min": 0, "step": 1}),
"initial_pe_idx_offset": ("INT", {"default": 0, "min": 0, "step": 1}),
"final_pe_idx_offset": ("INT", {"default": 0, "min": 0, "step": 1}),
},
"optional": {
"mask_motion_scale": ("MASK",),
"min_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
"max_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
}
}
RETURN_TYPES = ("AD_SETTINGS",)
CATEGORY = "" #"Animate Diff 🎭🅐🅓/① Gen1 nodes ①/motion settings/experimental"
FUNCTION = "get_motion_model_settings"
def get_motion_model_settings(self, pe_strength: float, attn_strength: float, other_strength: float,
motion_pe_stretch: int,
cap_initial_pe_length: int, interpolate_pe_to_length: int,
initial_pe_idx_offset: int, final_pe_idx_offset: int,
mask_motion_scale: torch.Tensor=None, min_motion_scale: float=1.0, max_motion_scale: float=1.0):
adjust_pe = AdjustPEGroup(AdjustPE(motion_pe_stretch=motion_pe_stretch,
cap_initial_pe_length=cap_initial_pe_length, interpolate_pe_to_length=interpolate_pe_to_length,
initial_pe_idx_offset=initial_pe_idx_offset, final_pe_idx_offset=final_pe_idx_offset))
motion_model_settings = AnimateDiffSettings(
adjust_pe=adjust_pe,
pe_strength=pe_strength,
attn_strength=attn_strength,
other_strength=other_strength,
mask_attn_scale=mask_motion_scale,
mask_attn_scale_min=min_motion_scale,
mask_attn_scale_max=max_motion_scale,
)
return (motion_model_settings,)
class AnimateDiffModelSettingsAdvancedAttnStrengths:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_q_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_k_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_v_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_out_weight_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"attn_out_bias_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"other_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001}),
"motion_pe_stretch": ("INT", {"default": 0, "min": 0, "step": 1}),
"cap_initial_pe_length": ("INT", {"default": 0, "min": 0, "step": 1}),
"interpolate_pe_to_length": ("INT", {"default": 0, "min": 0, "step": 1}),
"initial_pe_idx_offset": ("INT", {"default": 0, "min": 0, "step": 1}),
"final_pe_idx_offset": ("INT", {"default": 0, "min": 0, "step": 1}),
},
"optional": {
"mask_motion_scale": ("MASK",),
"min_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
"max_motion_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "step": 0.001}),
}
}
RETURN_TYPES = ("AD_SETTINGS",)
CATEGORY = "" #"Animate Diff 🎭🅐🅓/① Gen1 nodes ①/motion settings/experimental"
FUNCTION = "get_motion_model_settings"
def get_motion_model_settings(self, pe_strength: float, attn_strength: float,
attn_q_strength: float,
attn_k_strength: float,
attn_v_strength: float,
attn_out_weight_strength: float,
attn_out_bias_strength: float,
other_strength: float,
motion_pe_stretch: int,
cap_initial_pe_length: int, interpolate_pe_to_length: int,
initial_pe_idx_offset: int, final_pe_idx_offset: int,
mask_motion_scale: torch.Tensor=None, min_motion_scale: float=1.0, max_motion_scale: float=1.0):
adjust_pe = AdjustPEGroup(AdjustPE(motion_pe_stretch=motion_pe_stretch,
cap_initial_pe_length=cap_initial_pe_length, interpolate_pe_to_length=interpolate_pe_to_length,
initial_pe_idx_offset=initial_pe_idx_offset, final_pe_idx_offset=final_pe_idx_offset))
motion_model_settings = AnimateDiffSettings(
adjust_pe=adjust_pe,
pe_strength=pe_strength,
attn_strength=attn_strength,
attn_q_strength=attn_q_strength,
attn_k_strength=attn_k_strength,
attn_v_strength=attn_v_strength,
attn_out_weight_strength=attn_out_weight_strength,
attn_out_bias_strength=attn_out_bias_strength,
other_strength=other_strength,
mask_attn_scale=mask_motion_scale,
mask_attn_scale_min=min_motion_scale,
mask_attn_scale_max=max_motion_scale,
)
return (motion_model_settings,)
|