返回 JoyAI-Echo
constants.py
根目录 / ltx-pipelines / src / ltx_pipelines / utils / constants.py
1 import logging
2 from dataclasses import dataclass, field, replace
3
4 from safetensors import safe_open
5
6 from ltx_core.components.guiders import MultiModalGuiderParams
7 from ltx_core.types import SpatioTemporalScaleFactors
8
9 # =============================================================================
10 # Diffusion Schedule
11 # =============================================================================
12
13 # Noise schedule for the distilled pipeline. These sigma values control noise
14 # levels at each denoising step and were tuned to match the distillation process.
15 DISTILLED_SIGMA_VALUES = [1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0]
16
17 # Reduced schedule for super-resolution stage 2 (subset of distilled values)
18 STAGE_2_DISTILLED_SIGMA_VALUES = [0.909375, 0.725, 0.421875, 0.0]
19
20
21 # =============================================================================
22 # Pipeline Parameters
23 # =============================================================================
24
25
26 @dataclass(frozen=True)
27 class PipelineParams:
28 seed: int = 10
29 stage_1_height: int = 512
30 stage_1_width: int = 768
31 num_frames: int = 121
32 frame_rate: float = 24.0
33 num_inference_steps: int = 40
34 video_guider_params: MultiModalGuiderParams = field(
35 default_factory=lambda: MultiModalGuiderParams(
36 cfg_scale=3.0,
37 stg_scale=1.0,
38 rescale_scale=0.7,
39 modality_scale=3.0,
40 skip_step=0,
41 stg_blocks=[29],
42 )
43 )
44 audio_guider_params: MultiModalGuiderParams = field(
45 default_factory=lambda: MultiModalGuiderParams(
46 cfg_scale=7.0,
47 stg_scale=1.0,
48 rescale_scale=0.7,
49 modality_scale=3.0,
50 skip_step=0,
51 stg_blocks=[29],
52 )
53 )
54
55 @property
56 def stage_2_height(self) -> int:
57 return int(self.stage_1_height * 2)
58
59 @property
60 def stage_2_width(self) -> int:
61 return int(self.stage_1_width * 2)
62
63
64 # Default params for LTX-2.0 non-distilled models. These can be overridden by detecting from checkpoint metadata.
65 LTX_2_PARAMS = PipelineParams()
66
67 # Default params for LTX-2.3 non-distilled models. These override some of the LTX-2.0 defaults.
68 LTX_2_3_PARAMS = replace(
69 LTX_2_PARAMS,
70 num_inference_steps=30,
71 video_guider_params=replace(LTX_2_PARAMS.video_guider_params, stg_blocks=[28]),
72 audio_guider_params=replace(LTX_2_PARAMS.audio_guider_params, stg_blocks=[28]),
73 )
74 LTX_2_3_HQ_PARAMS = PipelineParams(
75 num_inference_steps=15,
76 stage_1_height=1088 // 2,
77 stage_1_width=1920 // 2,
78 video_guider_params=MultiModalGuiderParams(
79 cfg_scale=3.0,
80 stg_scale=0.0,
81 rescale_scale=0.45,
82 modality_scale=3.0,
83 skip_step=0,
84 stg_blocks=[],
85 ),
86 audio_guider_params=MultiModalGuiderParams(
87 cfg_scale=7.0,
88 stg_scale=0.0,
89 rescale_scale=1.0,
90 modality_scale=3.0,
91 skip_step=0,
92 stg_blocks=[],
93 ),
94 )
95
96 DEFAULT_LORA_STRENGTH = 1.0
97 DEFAULT_IMAGE_CRF = 33
98 VIDEO_SCALE_FACTORS = SpatioTemporalScaleFactors.default()
99 VIDEO_LATENT_CHANNELS = 128
100
101 _LTX_2_3_MODEL_VERSION_PREFIX = "2.3"
102
103
104 def detect_params(checkpoint_path: str) -> PipelineParams:
105 """Detect pipeline params from checkpoint metadata.
106 Reads the ``model_version`` field from the safetensors config metadata.
107 Returns ``LTX_2_3_PARAMS`` when the version starts with "2.3",
108 otherwise falls back to ``LTX_2_PARAMS``.
109 """
110 logger = logging.getLogger(__name__)
111
112 try:
113 with safe_open(checkpoint_path, framework="pt") as f:
114 metadata = f.metadata() or {}
115 version = metadata.get("model_version", "")
116 except Exception:
117 logger.warning("Could not read checkpoint metadata from %s, using LTX-2 defaults", checkpoint_path)
118 return LTX_2_PARAMS
119
120 if version.startswith(_LTX_2_3_MODEL_VERSION_PREFIX):
121 return LTX_2_3_PARAMS
122
123 logger.info("Using LTX_2_PARAMS for checkpoint (version=%s)", version or "unknown")
124 return LTX_2_PARAMS
125
126
127 # =============================================================================
128 # Prompts
129 # =============================================================================
130
131 DEFAULT_NEGATIVE_PROMPT = (
132 "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, "
133 "grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, "
134 "deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, "
135 "wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of "
136 "field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent "
137 "lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny "
138 "valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, "
139 "mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, "
140 "off-sync audio, incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward "
141 "pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, "
142 "inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts."
143 )
144
144 lines PYTHON