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https://github.com/comfyanonymous/ComfyUI.git
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3 Commits
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5fea7f7fa8
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@ -14,7 +14,8 @@ class EmptyHiDreamO1LatentImage(io.ComfyNode):
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="EmptyHiDreamO1LatentImage",
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category="latent/hidream_o1",
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display_name="Empty HiDream-O1 Latent Image",
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category="latent/image",
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description=(
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"Empty pixel-space latent for HiDream-O1-Image. When "
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"snap_to_predefined is on, dimensions are matched (by aspect "
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@ -40,7 +41,7 @@ class EmptyHiDreamO1LatentImage(io.ComfyNode):
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@classmethod
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def execute(cls, *, width: int, height: int, batch_size: int = 1,
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snap_to_predefined: bool = True) -> io.NodeOutput:
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if snap_to_predefined:
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if snap_to_predefined: #TODO: better way to handle this
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sw, sh = find_closest_resolution(width, height)
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width, height = sw, sh
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width = (width // 32) * 32
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@ -53,24 +54,17 @@ class EmptyHiDreamO1LatentImage(io.ComfyNode):
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class HiDreamO1ReferenceImages(io.ComfyNode):
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"""Attach reference images to both positive and negative conditioning.
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Refs are model-level inputs, not per-prompt CONDITIONING — they must ride
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on both CFG branches, otherwise CFG amplifies "with-refs vs no-refs"
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instead of "edit prompt vs empty prompt with same refs" and saturation
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blows out.
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"""
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"""Attach reference images to both positive and negative conditioning."""
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@classmethod
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="HiDreamO1ReferenceImages",
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category="conditioning/hidream_o1",
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display_name="HiDream-O1 Reference Images",
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category="conditioning/image",
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description=(
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"Attach 1-10 reference images to BOTH positive and negative "
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"conditioning for HiDream-O1 edit (K=1) or subject-driven "
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"personalization (K=2..10). Refs must ride on both CFG "
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"branches; this node enforces that."
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"Attach 1-10 reference images to conditioning, one for edit instruction"
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"or multiple for subject-driven personalization."
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),
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inputs=[
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io.Conditioning.Input(id="positive"),
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@ -96,14 +90,9 @@ class HiDreamO1ReferenceImages(io.ComfyNode):
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@classmethod
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def execute(cls, *, positive, negative, images: io.Autogrow.Type) -> io.NodeOutput:
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# Numeric-suffix order; alphabetic sort would give image_1, image_10, image_2, ...
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refs = [images[f"image_{i}"] for i in range(1, 11) if f"image_{i}" in images]
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positive = node_helpers.conditioning_set_values(
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positive, {"hidream_o1_ref_images": refs},
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)
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negative = node_helpers.conditioning_set_values(
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negative, {"hidream_o1_ref_images": refs},
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)
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positive = node_helpers.conditioning_set_values(positive, {"hidream_o1_ref_images": refs})
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negative = node_helpers.conditioning_set_values(negative, {"hidream_o1_ref_images": refs})
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return io.NodeOutput(positive, negative)
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@ -114,23 +103,22 @@ class HiDreamO1Sampling(io.ComfyNode):
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="HiDreamO1Sampling",
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category="advanced/model/hidream_o1",
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display_name="HiDream-O1 Sampling",
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category="advanced/model",
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description=(
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"Patch HiDream-O1's sigma shift and noise scaling factor. "
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"Full recipe: shift=3.0, s_noise=8.0. "
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"Dev/flash recipe: shift=1.0, s_noise=7.5."
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"Base model defaults: shift=3.0, s_noise=8.0. "
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"Dev/flash sampler defaults: shift=1.0, s_noise=7.5."
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),
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inputs=[
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io.Model.Input(id="model"),
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io.Float.Input(
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id="shift", default=3.0, min=0.0, max=100.0, step=0.01,
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tooltip="Flow-match sigma shift. 3.0 for full, 1.0 for dev.",
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tooltip="Flow-match sigma shift. Defaults: 3.0 for base, 1.0 for dev.",
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),
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io.Float.Input(
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id="s_noise", default=8.0, min=0.0, max=64.0, step=0.1,
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tooltip=(
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"HiDream-O1 noise scale (CONST_SCALED_NOISE._s_noise). "
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"8.0 for full, 7.5 for dev/flash."
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tooltip=("HiDream-O1 noise scale (CONST_SCALED_NOISE). Defaults: 8.0 for base, 7.5 for dev/flash."
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),
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),
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],
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@ -160,11 +148,9 @@ class SamplerEulerFlashFlowmatch(io.ComfyNode):
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="SamplerEulerFlashFlowmatch",
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display_name="Sampler Euler Flash Flowmatch",
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category="sampling/custom_sampling/samplers",
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description=(
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"HiDream-O1 dev/flash sampler with tunable per-step noise "
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"schedule (start, end, clip_std). Wire into SamplerCustom."
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),
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description=("HiDream-O1 dev/flash sampler with tunable per-step noise"),
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inputs=[
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io.Float.Input(
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id="s_noise_start", default=7.5, min=0.0, max=64.0, step=0.1,
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@ -173,17 +159,13 @@ class SamplerEulerFlashFlowmatch(io.ComfyNode):
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io.Float.Input(
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id="s_noise_end", default=7.5, min=0.0, max=64.0, step=0.1,
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tooltip=(
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"Per-step noise scale at the last step. Equals "
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"s_noise_start for upstream-default behaviour; differ "
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"to ramp the noise across the trajectory."
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"Per-step noise scale at the last step. Default: 7.5 for dev/flash. "
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"Differ from s_noise_start to linearly ramp noise across steps."
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),
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),
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io.Float.Input(
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id="noise_clip_std", default=2.5, min=0.0, max=10.0, step=0.1,
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tooltip=(
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"Clamp per-step noise to +/- N*std. 0 disables. "
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"Upstream dev recipe: 2.5."
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),
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tooltip=("Clamp per-step noise to +/- N*std. 0 disables.")
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),
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],
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outputs=[io.Sampler.Output()],
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@ -63,7 +63,7 @@ class MathExpressionNode(io.ComfyNode):
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@classmethod
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def define_schema(cls) -> io.Schema:
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autogrow = io.Autogrow.TemplateNames(
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input=io.MultiType.Input("value", [io.Float, io.Int]),
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input=io.MultiType.Input("value", [io.Float, io.Int, io.Boolean]),
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names=list(string.ascii_lowercase),
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min=1,
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)
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@ -82,6 +82,7 @@ class MathExpressionNode(io.ComfyNode):
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outputs=[
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io.Float.Output(display_name="FLOAT"),
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io.Int.Output(display_name="INT"),
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io.Boolean.Output(display_name="BOOL"),
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],
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)
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@ -97,7 +98,7 @@ class MathExpressionNode(io.ComfyNode):
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result = simple_eval(expression, names=context, functions=MATH_FUNCTIONS)
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# bool check must come first because bool is a subclass of int in Python
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if isinstance(result, bool) or not isinstance(result, (int, float)):
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if not isinstance(result, (int, float)):
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raise ValueError(
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f"Math Expression '{expression}' must evaluate to a numeric result, "
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f"got {type(result).__name__}: {result!r}"
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@ -106,7 +107,7 @@ class MathExpressionNode(io.ComfyNode):
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raise ValueError(
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f"Math Expression '{expression}' produced a non-finite result: {result}"
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)
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return io.NodeOutput(float(result), int(result))
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return io.NodeOutput(float(result), int(result), bool(result))
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class MathExtension(ComfyExtension):
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@ -124,9 +124,11 @@ class TestMathExpressionExecute:
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with pytest.raises(Exception, match="not defined"):
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self._exec("str(a)", a=42)
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def test_boolean_result_raises(self):
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with pytest.raises(ValueError, match="got bool"):
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self._exec("a > b", a=5, b=3)
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def test_boolean_result(self):
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result = self._exec("a > b", a=5, b=3)
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assert result[2] is True
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result = self._exec("a > b", a=3, b=5)
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assert result[2] is False
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def test_empty_expression_raises(self):
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with pytest.raises(ValueError, match="Expression cannot be empty"):
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