1.8.0
This commit is contained in:
noembryo
@@ -100,6 +100,20 @@ Outputs match the stock Load Image node: **IMAGE**, **MASK** (from the alpha cha
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**Credits:**
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Built as a much more enhanced version of [Load Image From Path (Enhanced)](https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes#load-image-from-path-enhanced) from [ComfyUI_Ib_CustomNodes](https://github.com/Chaoses-Ib/ComfyUI_Ib_CustomNodes), with parts of the interactive crop UI inspired from [Load Image & Crop](https://github.com/obvpm/comfyui-obvpm#load-image--crop) in [comfyui-obvpm](https://github.com/obvpm/comfyui-obvpm).
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---
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## Image Composer
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Compose several images into ONE image.
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Images keep their order and relative pixel sizes (natural sizing, never enlarged) and are packed as tightly as possible; rows are chosen automatically.
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The preview refreshes instantly when an upstream image, crop, rotation or megapixel cap changes; no workflow run needed.
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The inputs are automatically increase, every time you connect a new image loader.
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---
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## Resolution Scale
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@@ -143,6 +157,53 @@ No quality loss, like when trying to concatenate encoded videos.
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- **frame_count**: The total number of frames
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- **report**: Logging of some of the node's actions
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---
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## H3 Clip Refiner
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Inline texture-ratchet correction node for `H3 Motion Context` clips.
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Place this node BETWEEN the sampler (`SamplerCustomAdvanced`) and the `H3 Motion Context Save Latent` node.
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It operates on the LATENT level (no VAE decode/encode needed for measurement) to fix the "texture ratchet": high-band noise/grain increases monotonically at each join (+4.2% mid-band per join).
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The statistic is band_ratio = high-band std / total std.
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Measured across a chain it goes 0.3643 -> 0.3673 -> 0.3702 (monotone increase).
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- **Inputs**
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- **latent** gets the generated AV latent from your H3 sampler (SamplerCustomAdvanced output).
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- **reference_latent** is optional. It gets the reference latent (e.g., first clip) to measure target_ratio from it automatically.
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If connected, target_ratio is ignored and measured from this latent.
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- **Outputs**
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- **latent** is the refined latent.
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- **report**: shows the report of the latent analysis.
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- **Controls**
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- **target_ratio** is the ratio to rescale the high-band so the band_ratio matches the target clip (first)
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- **strength** is how much change it finally produces.
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- 0 = None
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- 1.0 = Full
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- > 1.0 = Overshoot
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1. **Usage**:
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1. First run: set target_ratio=0.0 (measure mode).
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The node measures the band_ratio (high-band std / total std) of the video latent and logs it (e.g., "band_ratio=0.3673").
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The latent passes through unchanged.
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2. Note the reported band_ratio from the FIRST clip (e.g., 0.3643).
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3. Subsequent runs: set target_ratio to the first clip's band_ratio (e.g., 0.3643).
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The node applies match_band to rescale the high-band so the band_ratio matches the target, fixing the texture ratchet.
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*TO MAKE IT LESS GRAINY*:
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If a clip measures at 0.3917, and you want it less grainy, set target_ratio to a LOWER value (e.g., 0.3800).
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The lower the target_ratio, the more the high-band grain is reduced.
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---
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## H3 Motion Context Clip Purge
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@@ -159,6 +220,68 @@ Only files matching the pattern are removed; sub-folders and everything inside t
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- **Outputs**
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- **report**: Shows the actions of the node.
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---
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## H3 AV Latent from Video
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Encodes a whole video (IMAGE frames + AUDIO) with the MiniMax H3 VAEs into an AV latent that can be saved with `H3 Motion Context Save Latent` and stitched into later generations.
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- **Inputs**
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- **video_vae** for encoding the video.
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- **audio_vae** for encoding the audio
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- **images** The whole video as frames (e.g. from VHS Load Video).
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Leave un-connected when using the latent input.
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- **latent** (optional) alternative to images.
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Accepts either a nested AV latent from `LTXVConcatAVLatent` (its audio stream is used directly), or an already-encoded H3 video LATENT from VAE Encode.
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A standard [B,C,H,W] latent is wrapped as a one-frame H3 video stream
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Connect AUDIO separately when it has no audio stream.
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- **audio** (optional) The video's audio (e.g. from VHS Load Video).
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Leave un-connected for a silent clip.
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Ignored when latent already contains an audio stream.
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- **Outputs**
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- **latent** is the `H3 Motion Context` AV latent
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- **Controls**
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- **source_fps** The frame rate of the loaded video.
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Frames are resampled to H3's native 24 fps by time-based frame picking, so audio stays in sync at any source rate.
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---
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## H3 Context Latent Converter
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A utility node that converts an `H3 Motion Context` archive latent (as loaded by `MiniMaxH3MotionContextLoadLatent`, whose 'samples' is a plain list) into the AV latent form that comfy-core's `LTXVSeparateAVLatent` expects (av_latent["samples"].unbind() -> (video, audio)).
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---
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## Replace Audio no Re-Encode
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A minimal ComfyUI custom node that replaces the audio stream of an existing video file with a new audio track, using ffmpeg's stream-copy mode for the video (`-c:v copy`). The video bitstream is remuxed losslessly and is never decoded/re-encoded, only the container is rewritten with a new audio stream. Requires ffmpeg to be installed and available on PATH.
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- **Input**
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- **audio**: ComfyUI AUDIO signal (e.g. from Load Audio or a generated audio node) to use as the new audio stream.
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Ignored if audio_path is set.
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- **Output**
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- **video_path** returns the path where the video is saved in text.
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- **Controls**
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- **video_path** Path to the video file whose audio stream will be replaced (e.g. any .mp4/.mov/.mkv on disk).
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- **filename_prefix** Prefix for the output file name.
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The result is saved in the ComfyUI output directory as: <prefix>_<video name>_<counter>.<ext>
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- **audio_codec** How to encode the new audio stream:
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- aac: re-encode to AAC 192kbps (always used when the audio comes from the audio input)
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- copy: remux the audio file losslessly, without re-encoding (only meaningful when using the audio_path input)"
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- **audio_path** Path to an audio file, or a video file, whose audio stream will be extracted, to be used as the new audio stream.
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If set, it takes priority over the audio input.
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---
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+1
-53
@@ -673,58 +673,6 @@ class H3MotionContextClipStitcher:
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return final_images, final_audio, frame_count, report
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# --- Contrast measurement helpers for inline H3ClipRefiner ---
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def _contrast_measure_luminance(frames):
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"""Compute per-frame luminance contrast (std of luminance) for [N,H,W,3] frames in 0..1.
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Returns [N] tensor of contrast values."""
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# Luminance = 0.2126*R + 0.7152*G + 0.0722*B
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lum = (frames[..., 0] * 0.2126 + frames[..., 1] * 0.7152 + frames[..., 2] * 0.0722)
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# Contrast = std of luminance per frame
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return lum.reshape(lum.shape[0], -1).std(dim=1)
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def _contrast_correct_frames(frames, head_contrast, tail_contrast, strength):
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"""Apply contrast correction to frames to undo the contrast drift.
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The denoiser typically changes contrast from head to tail (usually increases it).
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We measure the contrast ratio (tail/head) and scale luminance to bring tail
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contrast back to head level.
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frames: [N,H,W,3] in 0..1
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head_contrast: mean contrast of first N frames
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tail_contrast: mean contrast of last N frames
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strength: 0..1, how much of the correction to apply (1.0 = full correction to head level)
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Returns corrected frames.
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"""
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if head_contrast <= 1e-6 or tail_contrast <= 1e-6:
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return frames
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# Contrast ratio: tail/head.
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# ratio > 1 -> contrast increases (degradation), need to reduce
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# ratio < 1 -> contrast drops, need to boost
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ratio = tail_contrast / head_contrast
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# Target correction factor: 1/ratio brings tail contrast to head level.
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# Interpolate between 1.0 (no correction) and 1/ratio (full correction).
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correction = 1.0 + (1.0 / ratio - 1.0) * strength
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correction = max(0.5, min(2.0, correction)) # clamp for safety
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# Apply contrast correction in luminance space
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# Convert to luminance, scale around mean, convert back
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lum = (frames[..., 0] * 0.2126 + frames[..., 1] * 0.7152 + frames[..., 2] * 0.0722)
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lum_mean = lum.mean(dim=(1, 2), keepdim=True)
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lum_corrected = lum_mean + (lum - lum_mean) * correction
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# Reconstruct RGB: preserve chroma by scaling RGB proportionally
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# This is an approximation - proper way would be Lab space
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scale = torch.where(lum > 1e-6, lum_corrected / lum, torch.ones_like(lum))
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scale = scale.unsqueeze(-1)
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corrected = frames * scale
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return corrected.clamp_(0.0, 1.0)
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class H3ClipRefiner:
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""" Inline texture-ratchet correction node for H3 Motion Context clips.
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@@ -751,7 +699,7 @@ class H3ClipRefiner:
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match the target band_ratio. Low-frequency structure (scene content) is
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bit-identical preserved. No VAE decode/encode needed for the correction.
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TO MAKE IT LESS GRAINY: If a clip measures at 0.3917 and you want it less
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TO MAKE IT LESS GRAINY: If a clip measures at 0.3917, and you want it less
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grainy, set target_ratio to a LOWER value (e.g., 0.3800). The lower the
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target_ratio, the more the high-band grain is reduced.
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"""
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@@ -11,14 +11,14 @@ from .minimax import (H3MotionContextClipStitcher, H3ClipRefiner,
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H3MotionContextClipPurge, H3AVLatentFromVideo)
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MANIFEST = {"name": "noEmbryo Nodes",
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"version": (1, 6, 6),
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"version": (1, 8, 0),
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"author": "noEmbryo",
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"project": "https://github.com/noembryo/ComfyUI-noEmbryo",
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"description": "Nodes for ComfyUI",
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"license": "MIT",
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}
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__author__ = "noEmbryo"
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__version__ = "1.6.6"
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__version__ = "1.8.0"
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LISTS_PATH = join(dirname(realpath(__file__)), "TermLists")
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@@ -81,6 +81,9 @@ class JsonPromptLoader:
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RETURN_NAMES = ("Prompt",)
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FUNCTION = "run"
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CATEGORY = "noEmbryo/Prompt"
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DESCRIPTION = ("A node that can load a `.json` file with `item:prompt` pairs and outputs "
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"the selected item's prompt, while combining it with a custom prompt.\n"
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"It can load `.json` files from any directory, not just the node's directory.")
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def run(self, json_path, selected_item, variable, custom_prompt):
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self.load_data(json_path)
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+1
-1
@@ -12,7 +12,7 @@ limit the output's size in megapixels. \n
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* "PromptTermList (1-6)" nodes to help with the creation of Prompts. \n
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* "Auto Save Workflow" can save the current workflow to a .json file automatically. \n
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"""
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version = "1.6.7"
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version = "1.8.0"
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license = {text = "MIT License"}
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dependencies = []
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