jaidaken
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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# SPDX-FileCopyrightText: 2025 ArtificialSweetener <artificialsweetenerai@proton.me>
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from .interpolation import (
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RIFE_FPS_Resample,
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RIFE_SeamTimingAnalyzer,
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RIFE_VFI_Advanced,
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RIFE_VFI_Opt,
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)
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from .noise_control import PixelHold
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from .post_process import BatchWatermarkSingle
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from .scaling import BatchResizeWithLanczos, UpscaleWithModelAdvanced
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from .video_loop import (
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AssembleLoopFrames,
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AutocropToLoop,
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PrepareLoopFrames,
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RollFrames,
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TrimBatchEnds,
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UnrollFrames,
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)
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NODE_CLASS_MAPPINGS = {
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"PrepareLoopFrames": PrepareLoopFrames,
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"AssembleLoopFrames": AssembleLoopFrames,
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"RollFrames": RollFrames,
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"UnrollFrames": UnrollFrames,
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"AutocropToLoop": AutocropToLoop,
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"TrimBatchEnds": TrimBatchEnds,
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"RIFE_VFI_Opt": RIFE_VFI_Opt,
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"RIFE_VFI_Advanced": RIFE_VFI_Advanced,
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"RIFE_SeamTimingAnalyzer": RIFE_SeamTimingAnalyzer,
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"RIFE_FPS_Resample": RIFE_FPS_Resample,
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"PixelHold": PixelHold,
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"UpscaleWithModelAdvanced": UpscaleWithModelAdvanced,
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"BatchResizeWithLanczos": BatchResizeWithLanczos,
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"BatchWatermarkSingle": BatchWatermarkSingle,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"PrepareLoopFrames": "🐇 Prepare Loop Frames",
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"AssembleLoopFrames": "🐇 Assemble Loop Frames",
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"RollFrames": "🐇 Roll Frames",
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"UnrollFrames": "🐇 Unroll Frames",
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"AutocropToLoop": "🐇 Autocrop to Loop",
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"TrimBatchEnds": "🐇 Trim Batch Ends",
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"RIFE_VFI_Opt": "🐇 RIFE VFI Interpolate by Multiple",
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"RIFE_VFI_Advanced": "🐇 RIFE VFI Custom Timing",
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"RIFE_SeamTimingAnalyzer": "🐇 RIFE Seam Timing Analyzer",
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"RIFE_FPS_Resample": "🐇 RIFE VFI FPS Resample",
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"PixelHold": "🐇 Pixel Hold",
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"UpscaleWithModelAdvanced": "🐇 Upscale w/ Model (Advanced)",
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"BatchResizeWithLanczos": "🐇 Batch Resize w/ Lanczos",
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"BatchWatermarkSingle": "🐇 Watermark",
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}
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
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