digital-garbageandClaude Sonnet 5.5
f5050a4574
Long hints for 33 settings are cut to one or two sentences each, and the Taste steering strength and blocks hints now give a starting value and recommended blocks. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
94 lines
6.5 KiB
Python
94 lines
6.5 KiB
Python
"""Shot camera: cut times, views and camera moves for the [Shot N] blocks of an H3 prompt, chosen by rules.
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MiniMax H3 reads shots written into the prompt ("[Shot 2] At 00:03.000, the camera cuts to... The camera pushes in toward the
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lamp."). This writes them for you, with no language model: a small spaCy tagger finds what each shot is about, a few words
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pick the move. Off by default:
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* cut times: shots after the first open with their time
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* cut within the same shot: "[Shot 1] DANCE KISS" and "[Shot 1] DANCE DANCE" are cut between the shortcuts, so each part gets a time, a view and a focus. Its chance slider is hidden until this is on
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* reframe within the shot: at a boundary that was not cut, the camera moves to a new focus with no cut, in one continuous take (the view may stay)
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* views: your own trusted list (side view, from above, POV...), never on shot 1, never the same twice in a row
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* camera moves: one to three per shot, aimed at the most specific thing in it ("<Subject 1>'s hand", not "<Subject 1>")
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* liked details: a short detail you liked ("detailed lips") may be added, once, at the end of a later shot that already names that body part. Its chance slider is hidden until this is on
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Deterministic: the same prompt gives the same shots; "Variation" re-rolls. Ratings teach it: which views and moves are liked
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(a dislike that blames the picture alone teaches nothing here), and the words your prompts keep returning to are favoured.
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`[Shot N]` is H3's own shot, never a timeline scene.
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text -> Shot Camera -> text -> (Prompt Markup -> encode)
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"""
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from . import memory
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from .nodes import FunUIShotCamera
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ID = "conditioning_shot_camera"
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TITLE = "Shot camera"
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MOUNT = "settings.general"
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REQUIRES = ["shot_prompts"]
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STAGE = "conditioning"
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CATEGORY = "conditioning"
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STATUS = "experimental"
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NODES = [FunUIShotCamera]
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SETTINGS = {
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"camera_moves": {"type": "bool", "default": False, "label": "Camera moves",
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"hint": "Adds a camera move, aimed at the most specific thing in the shot, to every [Shot N] that has none."},
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"camera_moves_chance": {"type": "float", "default": 0.7, "min": 0.05, "max": 1.0, "step": 0.05, "label": "Chance a shot gets a move",
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"hint": "1 = every shot without a move gets one. Lower gives fewer; once you have rated enough shots it also follows how often you keep a move.",
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"when": {"camera_moves": True}},
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"shot_cuts": {"type": "bool", "default": False, "label": "Shot cut times",
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"hint": "Shots after the first open with their cut time, spread across the length of the video."},
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"cut_same_shot": {"type": "bool", "default": False, "label": "Cut within the same shot",
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"hint": "Splits a shot where one shortcut ends and the next begins, so each part gets its own time, view and focus."},
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"shot_cuts_chance": {"type": "float", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance of a cut within the shot",
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"hint": "1 = always cut between those shortcuts, 0 = never. Ratings nudge the values in between.",
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"when": {"cut_same_shot": True}},
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"cut_difference_chance": {"type": "float", "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance of an unusual transition",
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"hint": "0 = plain cuts. 1 = every cut a dissolve, fade or wipe, mixed. Needs a cut option on."},
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"reframe_same_shot": {"type": "bool", "default": False, "label": "Reframe within the shot",
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"hint": "Moves the camera to what the next action is about without a cut, as one continuous take."},
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"reframe_chance": {"type": "float", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance of a reframe",
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"hint": "1 = always reframe between those shortcuts, 0 = never. Ratings nudge the values in between.",
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"when": {"reframe_same_shot": True}},
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"uneven_shots_chance": {"type": "float", "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance of an uneven shot length",
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"hint": "0: equal shot lengths. 1: busier text gets longer shots. Needs a cut option on."},
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"focus_infusion_chance": {"type": "float", "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance of focus infusion",
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"hint": "0: never. 1: camera focus always aims at a word your prompts keep returning to. Needs camera moves on and a few prompts seen."},
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"shot_views": {"type": "bool", "default": False, "label": "Shot views",
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"hint": "Later shots open on a view (side, from above, POV…), never the same twice in a row."},
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"shot_views_chance": {"type": "float", "default": 0.4, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance a shot gets a view",
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"hint": "1 = every shot after the first that states no view gets one, 0 = none. Ratings change which views come up, not how often.",
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"when": {"shot_views": True}},
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"detail_notes": {"type": "bool", "default": False, "label": "Liked details",
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"hint": "Adds a short liked detail of a body part the shot already names, as its own sentence at the end."},
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"detail_notes_chance": {"type": "float", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.05, "label": "Chance of a liked detail",
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"hint": "1 = always add a matching detail, 0 = never. Ratings nudge the values in between. A detail that keeps coming back bad is dropped.",
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"when": {"detail_notes": True}},
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"variation": {"type": "int", "default": 0, "min": 0, "max": 9999, "label": "Variation",
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"hint": "The same prompt always gets the same shots. Change this number to draw different ones."},
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}
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def on_rating(prompt_id, rating, axis=None):
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return memory.on_rating(prompt_id, rating, axis)
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def routes(table, base, web):
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"""What the camera has learned, to read and prune from Settings."""
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@table.get(base + "/memory")
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async def _memory(_req):
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return web.json_response(memory.summary())
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@table.post(base + "/forget")
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async def _forget(req):
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try:
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body = await req.json()
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gone = memory.forget(body.get("kind"), body.get("name"))
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except (ValueError, AttributeError, TypeError) as exc:
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return web.json_response({"why": str(exc)}, status=400)
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return web.json_response({"forgotten": gone})
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PROVIDES = {"on_rating": on_rating, "routes": routes}
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