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https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-11-12 06:53:31 +08:00
Merge branch 'comfyanonymous:master' into master
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commit
5a1ef5aa0b
@ -13,6 +13,7 @@ from ..ldm.modules.diffusionmodules.util import (
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from ..ldm.modules.attention import SpatialTransformer
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from ..ldm.modules.attention import SpatialTransformer
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from ..ldm.modules.diffusionmodules.openaimodel import UNetModel, TimestepEmbedSequential, ResBlock, Downsample
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from ..ldm.modules.diffusionmodules.openaimodel import UNetModel, TimestepEmbedSequential, ResBlock, Downsample
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from ..ldm.util import exists
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from ..ldm.util import exists
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from .control_types import UNION_CONTROLNET_TYPES
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from collections import OrderedDict
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from collections import OrderedDict
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import comfy.ops
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import comfy.ops
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from comfy.ldm.modules.attention import optimized_attention
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from comfy.ldm.modules.attention import optimized_attention
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@ -390,6 +391,18 @@ class ControlNet(nn.Module):
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if self.control_add_embedding is not None: #Union Controlnet
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if self.control_add_embedding is not None: #Union Controlnet
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control_type = kwargs.get("control_type", [])
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control_type = kwargs.get("control_type", [])
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if any([c >= self.num_control_type for c in control_type]):
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max_type = max(control_type)
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max_type_name = {
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v: k for k, v in UNION_CONTROLNET_TYPES.items()
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}[max_type]
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raise ValueError(
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f"Control type {max_type_name}({max_type}) is out of range for the number of control types" +
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f"({self.num_control_type}) supported.\n" +
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"Please consider using the ProMax ControlNet Union model.\n" +
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"https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/tree/main"
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)
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emb += self.control_add_embedding(control_type, emb.dtype, emb.device)
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emb += self.control_add_embedding(control_type, emb.dtype, emb.device)
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if len(control_type) > 0:
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if len(control_type) > 0:
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if len(hint.shape) < 5:
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if len(hint.shape) < 5:
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10
comfy/cldm/control_types.py
Normal file
10
comfy/cldm/control_types.py
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@ -0,0 +1,10 @@
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UNION_CONTROLNET_TYPES = {
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"openpose": 0,
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"depth": 1,
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"hed/pidi/scribble/ted": 2,
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"canny/lineart/anime_lineart/mlsd": 3,
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"normal": 4,
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"segment": 5,
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"tile": 6,
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"repaint": 7,
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}
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@ -1,5 +1,5 @@
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from comfy import sd1_clip
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from comfy import sd1_clip
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from .llama_tokenizer import LLAMATokenizer
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from .spiece_tokenizer import SPieceTokenizer
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import comfy.text_encoders.t5
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import comfy.text_encoders.t5
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import os
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import os
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@ -11,7 +11,7 @@ class PT5XlModel(sd1_clip.SDClipModel):
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class PT5XlTokenizer(sd1_clip.SDTokenizer):
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class PT5XlTokenizer(sd1_clip.SDTokenizer):
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def __init__(self, embedding_directory=None):
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def __init__(self, embedding_directory=None):
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tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer"), "tokenizer.model")
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tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer"), "tokenizer.model")
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super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=LLAMATokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
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super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
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class AuraT5Tokenizer(sd1_clip.SD1Tokenizer):
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class AuraT5Tokenizer(sd1_clip.SD1Tokenizer):
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def __init__(self, embedding_directory=None):
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def __init__(self, embedding_directory=None):
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@ -1,9 +1,9 @@
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import os
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import os
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class LLAMATokenizer:
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class SPieceTokenizer:
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@staticmethod
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@staticmethod
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def from_pretrained(path):
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def from_pretrained(path):
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return LLAMATokenizer(path)
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return SPieceTokenizer(path)
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def __init__(self, tokenizer_path):
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def __init__(self, tokenizer_path):
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import sentencepiece
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import sentencepiece
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@ -1,20 +1,10 @@
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from comfy.cldm.control_types import UNION_CONTROLNET_TYPES
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UNION_CONTROLNET_TYPES = {"auto": -1,
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"openpose": 0,
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"depth": 1,
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"hed/pidi/scribble/ted": 2,
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"canny/lineart/anime_lineart/mlsd": 3,
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"normal": 4,
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"segment": 5,
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"tile": 6,
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"repaint": 7,
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}
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class SetUnionControlNetType:
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class SetUnionControlNetType:
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@classmethod
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@classmethod
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def INPUT_TYPES(s):
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def INPUT_TYPES(s):
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return {"required": {"control_net": ("CONTROL_NET", ),
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return {"required": {"control_net": ("CONTROL_NET", ),
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"type": (list(UNION_CONTROLNET_TYPES.keys()),)
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"type": (["auto"] + list(UNION_CONTROLNET_TYPES.keys()),)
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}}
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}}
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CATEGORY = "conditioning/controlnet"
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CATEGORY = "conditioning/controlnet"
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@ -24,7 +14,7 @@ class SetUnionControlNetType:
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def set_controlnet_type(self, control_net, type):
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def set_controlnet_type(self, control_net, type):
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control_net = control_net.copy()
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control_net = control_net.copy()
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type_number = UNION_CONTROLNET_TYPES[type]
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type_number = UNION_CONTROLNET_TYPES.get(type, -1)
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if type_number >= 0:
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if type_number >= 0:
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control_net.set_extra_arg("control_type", [type_number])
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control_net.set_extra_arg("control_type", [type_number])
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else:
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else:
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