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2026-07-07 14:43:30 -07:00

166 lines
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Python

# SPDX-License-Identifier: Apache-2.0
"""Kandinsky-5 model family pipeline presets."""
from fastvideo.api.presets import InferencePreset, PresetStageSpec
_NEGATIVE_PROMPT = ("Static, 2D cartoon, cartoon, 2d animation, paintings, images, worst quality, low quality, ugly, "
"deformed, walking backwards")
_DENOISE_STAGE = PresetStageSpec(
name="denoise",
kind="denoising",
description="Main Kandinsky-5 denoising pass",
allowed_overrides=frozenset({
"num_inference_steps",
"guidance_scale",
}),
)
KANDINSKY5_T2V_LITE_5S = InferencePreset(
name="kandinsky5_t2v_lite_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Lite T2V 5s",
workload_type="t2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 5.0,
"num_inference_steps": 50,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_T2V_LITE_DISTILLED_5S = InferencePreset(
name="kandinsky5_t2v_lite_distilled_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Lite T2V Distilled 5s",
workload_type="t2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 1.0,
"num_inference_steps": 16,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_T2V_PRO_5S = InferencePreset(
name="kandinsky5_t2v_pro_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Pro T2V 5s",
workload_type="t2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 5.0,
"num_inference_steps": 50,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_T2V_PRO_DISTILLED_5S = InferencePreset(
name="kandinsky5_t2v_pro_distilled_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Pro T2V Distilled 5s",
workload_type="t2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 1.0,
"num_inference_steps": 16,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_I2V_LITE_5S = InferencePreset(
name="kandinsky5_i2v_lite_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Lite I2V 5s",
workload_type="i2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 5.0,
"num_inference_steps": 50,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_I2V_PRO_5S = InferencePreset(
name="kandinsky5_i2v_pro_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Pro I2V 5s",
workload_type="i2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 5.0,
"num_inference_steps": 50,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_I2V_LITE_DISTILLED_5S = InferencePreset(
name="kandinsky5_i2v_lite_distilled_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Lite I2V Distilled 5s",
workload_type="i2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 1.0,
"num_inference_steps": 16,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
KANDINSKY5_I2V_PRO_DISTILLED_5S = InferencePreset(
name="kandinsky5_i2v_pro_distilled_5s",
version=1,
model_family="kandinsky5",
description="Kandinsky-5.0 Pro I2V Distilled 5s",
workload_type="i2v",
stage_schemas=(_DENOISE_STAGE, ),
defaults={
"height": 512,
"width": 768,
"num_frames": 121,
"fps": 24,
"guidance_scale": 1.0,
"num_inference_steps": 16,
"negative_prompt": _NEGATIVE_PROMPT,
},
)
ALL_PRESETS = (KANDINSKY5_T2V_LITE_5S, KANDINSKY5_T2V_LITE_DISTILLED_5S, KANDINSKY5_T2V_PRO_5S,
KANDINSKY5_T2V_PRO_DISTILLED_5S, KANDINSKY5_I2V_LITE_5S, KANDINSKY5_I2V_LITE_DISTILLED_5S,
KANDINSKY5_I2V_PRO_5S, KANDINSKY5_I2V_PRO_DISTILLED_5S)