feat(ltx): 'Anchor as guide' pipeline preset (stock LTXVAddGuide at frame 0, empty latent, guides cropped before decode)
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
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co-authored by
Claude Sonnet 5.5
parent
0f9a2ac98e
commit
1343486f87
@@ -16,7 +16,7 @@ the conditioning, the sound's length and the saved video agree on.
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DISTILLED_SIGMAS = "1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0"
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def _base(image_to_video: bool):
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def _base(image_to_video: bool, as_guide: bool = False):
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video = {"at": "project.video", "input": "frame_rate", "label": "FPS", "drives": "fps"}
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latent_source = ["latent", 0]
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model_source, positive_source, negative_source = ["modifiers", 0], ["conditioning", 0], ["conditioning", 1]
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@@ -51,13 +51,29 @@ def _base(image_to_video: bool):
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"inputs": {"media_id": ""}},
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{"id": "split", "group": "Preparation", "node": "LTXVSeparateAVLatent",
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"inputs": {"av_latent": ["latent", 0]}},
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{"id": "anchor", "group": "Preparation", "node": "LTXVImgToVideoInplace",
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"inputs": {"vae": ["model", 2], "image": ["source_image", 0], "latent": ["split", 0],
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"strength": 1.0, "bypass": False}},
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{"id": "join", "group": "Preparation", "node": "LTXVConcatAVLatent",
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"inputs": {"video_latent": ["anchor", 0], "audio_latent": ["split", 1]}},
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]
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if as_guide:
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# The picture steers through guide attention at frame 0 and is NOT the clip's first frame:
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# the latent stays empty, so the opening is free to move. Strength is the slot's own number.
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slots += [
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{"id": "anchor", "group": "Preparation", "node": "LTXVAddGuide",
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"inputs": {"positive": ["conditioning", 0], "negative": ["conditioning", 1], "vae": ["model", 2],
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"latent": ["split", 0], "image": ["source_image", 0], "frame_idx": 0, "strength": 0.35}},
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{"id": "join", "group": "Preparation", "node": "LTXVConcatAVLatent",
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"inputs": {"video_latent": ["anchor", 2], "audio_latent": ["split", 1]}},
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]
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guided = (["anchor", 0], ["anchor", 1])
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else:
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slots += [
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{"id": "anchor", "group": "Preparation", "node": "LTXVImgToVideoInplace",
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"inputs": {"vae": ["model", 2], "image": ["source_image", 0], "latent": ["split", 0],
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"strength": 1.0, "bypass": False}},
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{"id": "join", "group": "Preparation", "node": "LTXVConcatAVLatent",
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"inputs": {"video_latent": ["anchor", 0], "audio_latent": ["split", 1]}},
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]
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guided = (["conditioning", 0], ["conditioning", 1])
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latent_source = ["join", 0]
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positive_source, negative_source = guided
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slots += [
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{"id": "settings", "group": "Preparation", "node": "FunPackModifierSettings", "inputs": {"settings": "{}"}},
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{"id": "modifiers", "group": "Preparation", "node": "FunPackLoadModifiers",
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@@ -68,8 +84,8 @@ def _base(image_to_video: bool):
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# A reference face carried into the clip. The picture is the scene's first reference
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# (assets.reference_1): with none picked this node passes everything through untouched.
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{"id": "identity", "group": "Preparation", "node": "FunPackIdentityTransfer",
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"inputs": {"model": ["modifiers", 0], "vae": ["model", 2], "positive": ["conditioning", 0],
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"negative": ["conditioning", 1], "latent": latent_source, "source_id": 2.0,
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"inputs": {"model": ["modifiers", 0], "vae": ["model", 2], "positive": positive_source,
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"negative": negative_source, "latent": latent_source, "source_id": 2.0,
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"phase_scale": 1.0, "id_strength": 1.0, "arcface_mode": "auto_adjust"}},
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{"id": "identity_source", "group": "Reference media", "node": "FunPackLoadMedia",
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"roles": [{"at": "assets.reference_1", "input": "media_id",
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@@ -87,8 +103,9 @@ def _base(image_to_video: bool):
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"seed": 0, "steps": 8, "cfg": 1.0, "sampler_name": "euler", "scheduler": "normal",
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"denoise": 1.0}},
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*_uncrop(as_guide),
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{"id": "decode", "group": "Render", "node": "FunPackDecode", "inputs": {
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"samples": ["sampler", 0], "vae": ["model", 2], "model": ["model", 0], "audio_vae": ["audio_vae", 0]}},
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"samples": ["rejoin", 0] if as_guide else ["sampler", 0], "vae": ["model", 2], "model": ["model", 0], "audio_vae": ["audio_vae", 0]}},
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{"id": "video", "group": "Render", "node": "CreateVideo",
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"roles": [{"at": "project.video", "input": "fps", "label": "FPS", "drives": "fps"}],
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"inputs": {"images": ["decode", 0], "fps": 25.0, "audio": ["decode", 1]}},
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@@ -98,9 +115,24 @@ def _base(image_to_video: bool):
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return slots
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def _uncrop(as_guide):
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"""A guide sits in the latent as extra frames: take them off again before the picture is decoded."""
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if not as_guide:
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return []
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return [
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{"id": "unjoin", "group": "Render", "node": "LTXVSeparateAVLatent", "inputs": {"av_latent": ["sampler", 0]}},
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{"id": "crop", "group": "Render", "node": "LTXVCropGuides",
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"inputs": {"positive": ["identity", 1], "negative": ["identity", 2], "latent": ["unjoin", 0]}},
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{"id": "rejoin", "group": "Render", "node": "LTXVConcatAVLatent",
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"inputs": {"video_latent": ["crop", 2], "audio_latent": ["unjoin", 1]}},
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]
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def presets():
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return [{"id": "ltx23_text_to_video", "title": "LTX 2.3 · Text to Video", "slots": _base(False)},
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{"id": "ltx23_image_to_video", "title": "LTX 2.3 · Image to Video", "slots": _base(True)}]
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{"id": "ltx23_image_to_video", "title": "LTX 2.3 · Image to Video", "slots": _base(True)},
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{"id": "ltx23_anchor_guide", "title": "LTX 2.3 · Anchor as guide (image steers, opening stays free)",
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"slots": _base(True, True)}]
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PROVIDES = {"pipeline_presets": presets}
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@@ -122,7 +122,7 @@ def test_the_empty_latent_node_passes_the_audio_vae_to_a_provider_that_asks_and_
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assert seen == {"plain": True, "wants": ("A", 30.0)}
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@pytest.mark.parametrize("pid", ["ltx23_text_to_video", "ltx23_image_to_video"])
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@pytest.mark.parametrize("pid", ["ltx23_text_to_video", "ltx23_image_to_video", "ltx23_anchor_guide"])
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def test_the_pipelines_build_a_real_graph(registered, pid):
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from core import graph
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from modules.models.ltx.pipeline import presets
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@@ -143,7 +143,7 @@ def test_the_pipelines_build_a_real_graph(registered, pid):
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def test_the_presets_are_offered_through_the_registry(registered):
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from core import routes
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found = {preset["id"] for _spec, make in routes.modules().providers("pipeline_presets") for preset in make()}
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assert {"ltx23_text_to_video", "ltx23_image_to_video"} <= found
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assert {"ltx23_text_to_video", "ltx23_image_to_video", "ltx23_anchor_guide"} <= found
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def test_the_picture_is_found_in_both_shapes_a_sampling_latent_takes(comfyui):
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