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from torch import Tensor
from typing import Union
import comfy.samplers
from comfy.model_patcher import ModelPatcher
from .context import (ContextFuseMethod, ContextOptions, ContextOptionsGroup, ContextSchedules,
generate_context_visualization)
from .utils_model import BIGMAX, MAX_RESOLUTION
LENGTH_MAX = 128 # keep an eye on these max values;
STRIDE_MAX = 32 # would need to be updated
OVERLAP_MAX = 128 # if new motion modules come out
class LoopedUniformContextOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"context_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"context_stride": ("INT", {"default": 1, "min": 1, "max": STRIDE_MAX}),
"context_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
"closed_loop": ("BOOLEAN", {"default": False},),
#"sync_context_to_pe": ("BOOLEAN", {"default": False},),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST,),
"use_on_equal_length": ("BOOLEAN", {"default": False},),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"guarantee_steps": ("INT", {"default": 1, "min": 0, "max": BIGMAX}),
"prev_context": ("CONTEXT_OPTIONS",),
"view_opts": ("VIEW_OPTS",),
}
}
RETURN_TYPES = ("CONTEXT_OPTIONS",)
RETURN_NAMES = ("CONTEXT_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts"
FUNCTION = "create_options"
def create_options(self, context_length: int, context_stride: int, context_overlap: int, closed_loop: bool,
fuse_method: str=ContextFuseMethod.FLAT, use_on_equal_length=False, start_percent: float=0.0, guarantee_steps: int=1,
view_opts: ContextOptions=None, prev_context: ContextOptionsGroup=None):
if prev_context is None:
prev_context = ContextOptionsGroup()
prev_context = prev_context.clone()
context_options = ContextOptions(
context_length=context_length,
context_stride=context_stride,
context_overlap=context_overlap,
context_schedule=ContextSchedules.UNIFORM_LOOPED,
closed_loop=closed_loop,
fuse_method=fuse_method,
use_on_equal_length=use_on_equal_length,
start_percent=start_percent,
guarantee_steps=guarantee_steps,
view_options=view_opts,
)
#context_options.set_sync_context_to_pe(sync_context_to_pe)
prev_context.add(context_options)
return (prev_context,)
# This Legacy version exists to maintain compatiblity with old workflows
class LegacyLoopedUniformContextOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"context_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"context_stride": ("INT", {"default": 1, "min": 1, "max": STRIDE_MAX}),
"context_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
"context_schedule": (ContextSchedules.LEGACY_UNIFORM_SCHEDULE_LIST,),
"closed_loop": ("BOOLEAN", {"default": False},),
#"sync_context_to_pe": ("BOOLEAN", {"default": False},),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST, {"default": ContextFuseMethod.FLAT}),
"use_on_equal_length": ("BOOLEAN", {"default": False},),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"guarantee_steps": ("INT", {"default": 1, "min": 0, "max": BIGMAX}),
"prev_context": ("CONTEXT_OPTIONS",),
"view_opts": ("VIEW_OPTS",),
"deprecation_warning": ("ADEWARN", {"text": ""}),
}
}
RETURN_TYPES = ("CONTEXT_OPTIONS",)
RETURN_NAMES = ("CONTEXT_OPTS",)
CATEGORY = "" # No Category, so will not appear in menu
FUNCTION = "create_options"
def create_options(self, fuse_method: str=ContextFuseMethod.FLAT, context_schedule: str=None, **kwargs):
return LoopedUniformContextOptionsNode.create_options(self, fuse_method=fuse_method, **kwargs)
class StandardUniformContextOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"context_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"context_stride": ("INT", {"default": 1, "min": 1, "max": STRIDE_MAX}),
"context_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST,),
"use_on_equal_length": ("BOOLEAN", {"default": False},),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"guarantee_steps": ("INT", {"default": 1, "min": 0, "max": BIGMAX}),
"prev_context": ("CONTEXT_OPTIONS",),
"view_opts": ("VIEW_OPTS",),
}
}
RETURN_TYPES = ("CONTEXT_OPTIONS",)
RETURN_NAMES = ("CONTEXT_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts"
FUNCTION = "create_options"
def create_options(self, context_length: int, context_stride: int, context_overlap: int,
fuse_method: str=ContextFuseMethod.PYRAMID, use_on_equal_length=False, start_percent: float=0.0, guarantee_steps: int=1,
view_opts: ContextOptions=None, prev_context: ContextOptionsGroup=None):
if prev_context is None:
prev_context = ContextOptionsGroup()
prev_context = prev_context.clone()
context_options = ContextOptions(
context_length=context_length,
context_stride=context_stride,
context_overlap=context_overlap,
context_schedule=ContextSchedules.UNIFORM_STANDARD,
closed_loop=False,
fuse_method=fuse_method,
use_on_equal_length=use_on_equal_length,
start_percent=start_percent,
guarantee_steps=guarantee_steps,
view_options=view_opts,
)
prev_context.add(context_options)
return (prev_context,)
class StandardStaticContextOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"context_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"context_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST_STATIC,),
"use_on_equal_length": ("BOOLEAN", {"default": False},),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"guarantee_steps": ("INT", {"default": 1, "min": 0, "max": BIGMAX}),
"prev_context": ("CONTEXT_OPTIONS",),
"view_opts": ("VIEW_OPTS",),
}
}
RETURN_TYPES = ("CONTEXT_OPTIONS",)
RETURN_NAMES = ("CONTEXT_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts"
FUNCTION = "create_options"
def create_options(self, context_length: int, context_overlap: int,
fuse_method: str=ContextFuseMethod.PYRAMID, use_on_equal_length=False, start_percent: float=0.0, guarantee_steps: int=1,
view_opts: ContextOptions=None, prev_context: ContextOptionsGroup=None):
if prev_context is None:
prev_context = ContextOptionsGroup()
prev_context = prev_context.clone()
context_options = ContextOptions(
context_length=context_length,
context_stride=None,
context_overlap=context_overlap,
context_schedule=ContextSchedules.STATIC_STANDARD,
fuse_method=fuse_method,
use_on_equal_length=use_on_equal_length,
start_percent=start_percent,
guarantee_steps=guarantee_steps,
view_options=view_opts,
)
prev_context.add(context_options)
return (prev_context,)
class BatchedContextOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"context_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
},
"optional": {
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"guarantee_steps": ("INT", {"default": 1, "min": 0, "max": BIGMAX}),
"prev_context": ("CONTEXT_OPTIONS",),
}
}
RETURN_TYPES = ("CONTEXT_OPTIONS",)
RETURN_NAMES = ("CONTEXT_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts"
FUNCTION = "create_options"
def create_options(self, context_length: int, start_percent: float=0.0, guarantee_steps: int=1,
prev_context: ContextOptionsGroup=None):
if prev_context is None:
prev_context = ContextOptionsGroup()
prev_context = prev_context.clone()
context_options = ContextOptions(
context_length=context_length,
context_overlap=0,
context_schedule=ContextSchedules.BATCHED,
start_percent=start_percent,
guarantee_steps=guarantee_steps,
)
prev_context.add(context_options)
return (prev_context,)
class ViewAsContextOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"view_opts_req": ("VIEW_OPTS",),
},
"optional": {
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
"guarantee_steps": ("INT", {"default": 1, "min": 0, "max": BIGMAX}),
"prev_context": ("CONTEXT_OPTIONS",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("CONTEXT_OPTIONS",)
RETURN_NAMES = ("CONTEXT_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts"
FUNCTION = "create_options"
def create_options(self, view_opts_req: ContextOptions, start_percent: float=0.0, guarantee_steps: int=1,
prev_context: ContextOptionsGroup=None):
if prev_context is None:
prev_context = ContextOptionsGroup()
prev_context = prev_context.clone()
context_options = ContextOptions(
context_schedule=ContextSchedules.VIEW_AS_CONTEXT,
start_percent=start_percent,
guarantee_steps=guarantee_steps,
view_options=view_opts_req,
use_on_equal_length=True
)
prev_context.add(context_options)
return (prev_context,)
#########################
# View Options
class StandardStaticViewOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"view_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"view_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST,),
}
}
RETURN_TYPES = ("VIEW_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts/view opts"
FUNCTION = "create_options"
def create_options(self, view_length: int, view_overlap: int,
fuse_method: str=ContextFuseMethod.FLAT,):
view_options = ContextOptions(
context_length=view_length,
context_stride=None,
context_overlap=view_overlap,
context_schedule=ContextSchedules.STATIC_STANDARD,
fuse_method=fuse_method,
)
return (view_options,)
class StandardUniformViewOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"view_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"view_stride": ("INT", {"default": 1, "min": 1, "max": STRIDE_MAX}),
"view_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST,),
}
}
RETURN_TYPES = ("VIEW_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts/view opts"
FUNCTION = "create_options"
def create_options(self, view_length: int, view_overlap: int, view_stride: int,
fuse_method: str=ContextFuseMethod.PYRAMID,):
view_options = ContextOptions(
context_length=view_length,
context_stride=view_stride,
context_overlap=view_overlap,
context_schedule=ContextSchedules.UNIFORM_STANDARD,
fuse_method=fuse_method,
)
return (view_options,)
class LoopedUniformViewOptionsNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"view_length": ("INT", {"default": 16, "min": 1, "max": LENGTH_MAX}),
"view_stride": ("INT", {"default": 1, "min": 1, "max": STRIDE_MAX}),
"view_overlap": ("INT", {"default": 4, "min": 0, "max": OVERLAP_MAX}),
"closed_loop": ("BOOLEAN", {"default": False},),
},
"optional": {
"fuse_method": (ContextFuseMethod.LIST,),
"use_on_equal_length": ("BOOLEAN", {"default": False},),
}
}
RETURN_TYPES = ("VIEW_OPTS",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts/view opts"
FUNCTION = "create_options"
def create_options(self, view_length: int, view_overlap: int, view_stride: int, closed_loop: bool,
fuse_method: str=ContextFuseMethod.PYRAMID, use_on_equal_length=False):
view_options = ContextOptions(
context_length=view_length,
context_stride=view_stride,
context_overlap=view_overlap,
context_schedule=ContextSchedules.UNIFORM_LOOPED,
closed_loop=closed_loop,
fuse_method=fuse_method,
use_on_equal_length=use_on_equal_length,
)
return (view_options,)
class VisualizeContextOptionsKAdv:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": ("MODEL",),
"sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
"scheduler": (comfy.samplers.KSampler.SCHEDULERS, ),
},
"optional": {
"context_opts": ("CONTEXT_OPTIONS",),
"visual_width": ("INT", {"min": 32, "max": MAX_RESOLUTION, "default": 1440}),
"latents_length": ("INT", {"min": 1, "max": BIGMAX, "default": 32}),
"steps": ("INT", {"min": 0, "max": BIGMAX, "default": 20}),
"start_step": ("INT", {"min": 0, "max": BIGMAX, "default": 0}),
"end_step": ("INT", {"min": 1, "max": BIGMAX, "default": 20}),
}
}
RETURN_TYPES = ("IMAGE",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts/visualize"
FUNCTION = "visualize"
def visualize(self, model: ModelPatcher, sampler_name: str, scheduler: str, context_opts: ContextOptionsGroup=None,
visual_width=1440, latents_length=32, steps=20, start_step=0, end_step=20):
images = generate_context_visualization(model=model, context_opts=context_opts, width=visual_width, video_length=latents_length,
sampler_name=sampler_name, scheduler=scheduler,
steps=steps, start_step=start_step, end_step=end_step)
return (images,)
class VisualizeContextOptionsK:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": ("MODEL",),
"sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
"scheduler": (comfy.samplers.KSampler.SCHEDULERS, ),
},
"optional": {
"context_opts": ("CONTEXT_OPTIONS",),
"visual_width": ("INT", {"min": 32, "max": MAX_RESOLUTION, "default": 1440}),
"latents_length": ("INT", {"min": 1, "max": BIGMAX, "default": 32}),
"steps": ("INT", {"min": 0, "max": BIGMAX, "default": 20}),
"denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
}
}
RETURN_TYPES = ("IMAGE",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts/visualize"
FUNCTION = "visualize"
def visualize(self, model: ModelPatcher, sampler_name: str, scheduler: str, context_opts: ContextOptionsGroup=None,
visual_width=1440, latents_length=32, steps=20, denoise=1.0):
images = generate_context_visualization(model=model, context_opts=context_opts, width=visual_width, video_length=latents_length,
sampler_name=sampler_name, scheduler=scheduler,
steps=steps, denoise=denoise)
return (images,)
class VisualizeContextOptionsSCustom:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": ("MODEL",),
"sigmas": ("SIGMAS", ),
},
"optional": {
"context_opts": ("CONTEXT_OPTIONS",),
"visual_width": ("INT", {"min": 32, "max": MAX_RESOLUTION, "default": 1440}),
"latents_length": ("INT", {"min": 1, "max": BIGMAX, "default": 32}),
}
}
RETURN_TYPES = ("IMAGE",)
CATEGORY = "Animate Diff 🎭🅐🅓/context opts/visualize"
FUNCTION = "visualize"
def visualize(self, model: ModelPatcher, sigmas, context_opts: ContextOptionsGroup=None,
visual_width=1440, latents_length=32):
images = generate_context_visualization(model=model, context_opts=context_opts, width=visual_width, video_length=latents_length,
sigmas=sigmas)
return (images,)
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