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Merge branch 'master' into patch-1

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Gius 2026-02-08 12:22:46 +01:00 committed by GitHub
commit 0555cc7457
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4 changed files with 5 additions and 3 deletions
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2
comfy/text_encoders/lt.py
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@ -25,7 +25,7 @@ def ltxv_te(*args, **kwargs):
class Gemma3_12BTokenizer(sd1_clip.SDTokenizer): class Gemma3_12BTokenizer(sd1_clip.SDTokenizer):
def __init__(self, embedding_directory=None, tokenizer_data={}): def __init__(self, embedding_directory=None, tokenizer_data={}):
tokenizer = tokenizer_data.get("spiece_model", None) tokenizer = tokenizer_data.get("spiece_model", None)
super().__init__(tokenizer, pad_with_end=False, embedding_size=3840, embedding_key='gemma3_12b', tokenizer_class=SPieceTokenizer, has_end_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, tokenizer_args={"add_bos": True, "add_eos": False}, tokenizer_data=tokenizer_data) super().__init__(tokenizer, pad_with_end=False, embedding_size=3840, embedding_key='gemma3_12b', tokenizer_class=SPieceTokenizer, has_end_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, disable_weights=True, tokenizer_args={"add_bos": True, "add_eos": False}, tokenizer_data=tokenizer_data)
def state_dict(self): def state_dict(self):
return {"spiece_model": self.tokenizer.serialize_model()} return {"spiece_model": self.tokenizer.serialize_model()}

2
comfy_extras/nodes_custom_sampler.py
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@ -622,6 +622,7 @@ class SamplerSASolver(io.ComfyNode):
def define_schema(cls): def define_schema(cls):
return io.Schema( return io.Schema(
node_id="SamplerSASolver", node_id="SamplerSASolver",
search_aliases=["sde"],
category="sampling/custom_sampling/samplers", category="sampling/custom_sampling/samplers",
inputs=[ inputs=[
io.Model.Input("model"), io.Model.Input("model"),
@ -666,6 +667,7 @@ class SamplerSEEDS2(io.ComfyNode):
def define_schema(cls): def define_schema(cls):
return io.Schema( return io.Schema(
node_id="SamplerSEEDS2", node_id="SamplerSEEDS2",
search_aliases=["sde", "exp heun"],
category="sampling/custom_sampling/samplers", category="sampling/custom_sampling/samplers",
inputs=[ inputs=[
io.Combo.Input("solver_type", options=["phi_1", "phi_2"]), io.Combo.Input("solver_type", options=["phi_1", "phi_2"]),

2
comfy_extras/nodes_easycache.py
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@ -108,7 +108,7 @@ def lazycache_predict_noise_wrapper(executor, *args, **kwargs):
easycache: LazyCacheHolder = model_options["transformer_options"]["easycache"] easycache: LazyCacheHolder = model_options["transformer_options"]["easycache"]
if easycache.is_past_end_timestep(timestep): if easycache.is_past_end_timestep(timestep):
return executor(*args, **kwargs) return executor(*args, **kwargs)
x: torch.Tensor = _extract_tensor(args[0], easycache.output_channels) x: torch.Tensor = args[0][:, :easycache.output_channels]
# prepare next x_prev # prepare next x_prev
next_x_prev = x next_x_prev = x
input_change = None input_change = None

2
requirements.txt
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@ -1,6 +1,6 @@
comfyui-frontend-package==1.38.13 comfyui-frontend-package==1.38.13
comfyui-workflow-templates==0.8.31 comfyui-workflow-templates==0.8.31
comfyui-embedded-docs==0.4.0 comfyui-embedded-docs==0.4.1
torch torch
torchsde torchsde
torchvision torchvision