William LinandClaude Opus 5.5
946094bc77
An empty negative prompt now selects the release's structured negative caption with its time ranges set to the clip's duration, as the reference sampler does; a single space still gives the empty unconditional prompt. The serving config and cookbook now say guidance 2.5, matching the presets. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""Inference presets for PAN2 text-to-video and image-to-video."""
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from fastvideo.api.presets import InferencePreset, PresetStageSpec
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_DENOISE_STAGE = PresetStageSpec(
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name="denoise",
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kind="denoising",
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description="PAN2 flow-matching denoising",
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allowed_overrides=frozenset({"num_inference_steps", "guidance_scale"}),
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)
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# 704x1248, 313 frames (13 s at 24 fps), 50 steps, CFG 2.5 (the release launcher's default since ifm-ai/PAN2
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# 86d5023, 2026-10-23; 3 before). The empty negative prompt selects the release's structured negative caption,
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# rendered for the clip's duration by ``PAN2TextEncodingStage`` as in the reference sampler.
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_SHARED_DEFAULTS = {
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"height": 704,
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"width": 1248,
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"num_frames": 313,
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"fps": 24,
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"num_inference_steps": 50,
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"guidance_scale": 2.5,
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"negative_prompt": "",
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}
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PAN2_T2V = InferencePreset(
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name="pan2_t2v",
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version=1,
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model_family="pan2",
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description="PAN2 text-to-video",
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workload_type="t2v",
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stage_schemas=(_DENOISE_STAGE, ),
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defaults=dict(_SHARED_DEFAULTS),
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)
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# The same pipeline runs image-to-video when the request carries a first frame (image_path).
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PAN2_I2V = InferencePreset(
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name="pan2_i2v",
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version=1,
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model_family="pan2",
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description="PAN2 image-to-video from a first frame",
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workload_type="i2v",
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stage_schemas=(_DENOISE_STAGE, ),
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defaults=dict(_SHARED_DEFAULTS),
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)
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ALL_PRESETS = (PAN2_T2V, PAN2_I2V)
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__all__ = ["ALL_PRESETS", "PAN2_I2V", "PAN2_T2V"]
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