Merge 69603be5d2 into c6238047ee

Put more details about portable in readme. (#11816 )
Rather check is_nested
2026-01-28 15:20:25 +08:00 · 2026-01-12 13:17:41 +08:00 · 2026-01-11 21:11:53 -05:00 · 2026-01-09 09:12:12 +02:00 · 2026-01-08 20:15:22 +02:00
5 changed files with 142 additions and 8 deletions
--- a/README.md
+++ b/README.md
@ -183,7 +183,7 @@ Simply download, extract with [7-Zip](https://7-zip.org) or with the windows exp

 If you have trouble extracting it, right click the file -> properties -> unblock

-Update your Nvidia drivers if it doesn't start.
+The portable above currently comes with python 3.13 and pytorch cuda 13.0. Update your Nvidia drivers if it doesn't start.

 #### Alternative Downloads:

@ -212,7 +212,7 @@ Python 3.14 works but you may encounter issues with the torch compile node. The

 Python 3.13 is very well supported. If you have trouble with some custom node dependencies on 3.13 you can try 3.12

-torch 2.4 and above is supported but some features might only work on newer versions. We generally recommend using the latest major version of pytorch unless it is less than 2 weeks old.
+torch 2.4 and above is supported but some features might only work on newer versions. We generally recommend using the latest major version of pytorch with the latest cuda version unless it is less than 2 weeks old.

 ### Instructions:

--- a/comfy/latent_formats.py
+++ b/comfy/latent_formats.py
@ -409,8 +409,137 @@ class LTXV(LatentFormat):

 class LTXAV(LTXV):
    def __init__(self):
-        self.latent_rgb_factors = None
-        self.latent_rgb_factors_bias = None
+        self.latent_rgb_factors = [
+            [ 0.0350,  0.0159,  0.0132],
+            [ 0.0025, -0.0021, -0.0003],
+            [ 0.0286,  0.0028,  0.0020],
+            [ 0.0280, -0.0114, -0.0202],
+            [-0.0186,  0.0073,  0.0092],
+            [ 0.0027,  0.0097, -0.0113],
+            [-0.0069, -0.0032, -0.0024],
+            [-0.0323, -0.0370, -0.0457],
+            [ 0.0174,  0.0164,  0.0106],
+            [-0.0097,  0.0061,  0.0035],
+            [-0.0130, -0.0042, -0.0012],
+            [-0.0102, -0.0002, -0.0091],
+            [-0.0025,  0.0063,  0.0161],
+            [ 0.0003,  0.0037,  0.0108],
+            [ 0.0152,  0.0082,  0.0143],
+            [ 0.0317,  0.0203,  0.0312],
+            [-0.0092, -0.0233, -0.0119],
+            [-0.0405, -0.0226, -0.0023],
+            [ 0.0376,  0.0397,  0.0352],
+            [ 0.0171, -0.0043, -0.0095],
+            [ 0.0482,  0.0341,  0.0213],
+            [ 0.0031, -0.0046, -0.0018],
+            [-0.0486, -0.0383, -0.0294],
+            [-0.0071, -0.0272, -0.0123],
+            [ 0.0320,  0.0218,  0.0289],
+            [ 0.0327,  0.0088, -0.0116],
+            [-0.0098, -0.0240, -0.0111],
+            [ 0.0094, -0.0116,  0.0021],
+            [ 0.0309,  0.0092,  0.0165],
+            [-0.0065, -0.0077, -0.0107],
+            [ 0.0179,  0.0114,  0.0038],
+            [-0.0018, -0.0030, -0.0026],
+            [-0.0002,  0.0076, -0.0029],
+            [-0.0131, -0.0059, -0.0170],
+            [ 0.0055,  0.0066, -0.0038],
+            [ 0.0154,  0.0063,  0.0090],
+            [ 0.0186,  0.0175,  0.0188],
+            [-0.0166, -0.0381, -0.0428],
+            [ 0.0121,  0.0015, -0.0153],
+            [ 0.0118,  0.0050,  0.0019],
+            [ 0.0125,  0.0259,  0.0231],
+            [ 0.0046,  0.0130,  0.0081],
+            [ 0.0271,  0.0250,  0.0250],
+            [-0.0054, -0.0347, -0.0326],
+            [-0.0438, -0.0262, -0.0228],
+            [-0.0191, -0.0256, -0.0173],
+            [-0.0205, -0.0058,  0.0042],
+            [ 0.0404,  0.0434,  0.0346],
+            [-0.0242, -0.0177, -0.0146],
+            [ 0.0161,  0.0223,  0.0168],
+            [-0.0240, -0.0320, -0.0299],
+            [-0.0019,  0.0043,  0.0008],
+            [-0.0060, -0.0133, -0.0244],
+            [-0.0048, -0.0225, -0.0167],
+            [ 0.0267,  0.0133,  0.0152],
+            [ 0.0222,  0.0167,  0.0028],
+            [ 0.0015, -0.0062,  0.0013],
+            [-0.0241, -0.0178, -0.0079],
+            [ 0.0040, -0.0081, -0.0097],
+            [-0.0064,  0.0133, -0.0011],
+            [-0.0204, -0.0231, -0.0304],
+            [ 0.0011, -0.0011,  0.0145],
+            [-0.0283, -0.0259, -0.0260],
+            [ 0.0038,  0.0171, -0.0029],
+            [ 0.0637,  0.0424,  0.0409],
+            [ 0.0092,  0.0163,  0.0188],
+            [ 0.0082,  0.0055, -0.0179],
+            [-0.0177, -0.0286, -0.0147],
+            [ 0.0171,  0.0242,  0.0398],
+            [-0.0129,  0.0095, -0.0071],
+            [-0.0154,  0.0036,  0.0128],
+            [-0.0081, -0.0009,  0.0118],
+            [-0.0067, -0.0178, -0.0230],
+            [-0.0022, -0.0125, -0.0003],
+            [-0.0032, -0.0039, -0.0022],
+            [-0.0005, -0.0127, -0.0131],
+            [-0.0143, -0.0157, -0.0165],
+            [-0.0262, -0.0263, -0.0270],
+            [ 0.0063,  0.0127,  0.0178],
+            [ 0.0092,  0.0133,  0.0150],
+            [-0.0106, -0.0068,  0.0032],
+            [-0.0214, -0.0022,  0.0171],
+            [-0.0104, -0.0266, -0.0362],
+            [ 0.0021,  0.0048, -0.0005],
+            [ 0.0345,  0.0431,  0.0402],
+            [-0.0275, -0.0110, -0.0195],
+            [ 0.0203,  0.0251,  0.0224],
+            [ 0.0016, -0.0037, -0.0094],
+            [ 0.0241,  0.0198,  0.0114],
+            [-0.0003,  0.0027,  0.0141],
+            [ 0.0012, -0.0052, -0.0084],
+            [ 0.0057, -0.0028, -0.0163],
+            [-0.0488, -0.0545, -0.0509],
+            [-0.0076, -0.0025, -0.0014],
+            [-0.0249, -0.0142, -0.0367],
+            [ 0.0136,  0.0041,  0.0135],
+            [ 0.0007,  0.0034, -0.0053],
+            [-0.0068, -0.0109,  0.0029],
+            [ 0.0006, -0.0237, -0.0094],
+            [-0.0149, -0.0177, -0.0131],
+            [-0.0105,  0.0039,  0.0216],
+            [ 0.0242,  0.0200,  0.0180],
+            [-0.0339, -0.0153, -0.0195],
+            [ 0.0104,  0.0151,  0.0120],
+            [-0.0043,  0.0089,  0.0047],
+            [ 0.0157, -0.0030,  0.0008],
+            [ 0.0126,  0.0102, -0.0040],
+            [ 0.0040,  0.0114,  0.0137],
+            [ 0.0423,  0.0473,  0.0436],
+            [-0.0128, -0.0066, -0.0152],
+            [-0.0337, -0.0087, -0.0026],
+            [-0.0052,  0.0235,  0.0291],
+            [ 0.0079,  0.0154,  0.0260],
+            [-0.0539, -0.0377, -0.0358],
+            [-0.0188,  0.0062, -0.0035],
+            [-0.0186,  0.0041, -0.0083],
+            [ 0.0045, -0.0049,  0.0053],
+            [ 0.0172,  0.0071,  0.0042],
+            [-0.0003, -0.0078, -0.0096],
+            [-0.0209, -0.0132, -0.0135],
+            [-0.0074,  0.0017,  0.0099],
+            [-0.0038,  0.0070,  0.0014],
+            [-0.0013, -0.0017,  0.0073],
+            [ 0.0030,  0.0105,  0.0105],
+            [ 0.0154, -0.0168, -0.0235],
+            [-0.0108, -0.0038,  0.0047],
+            [-0.0298, -0.0347, -0.0436],
+            [-0.0206, -0.0189, -0.0139]
+        ]
+        self.latent_rgb_factors_bias = [0.2796, 0.1101, -0.0047]

 class HunyuanVideo(LatentFormat):
    latent_channels = 16
--- a/comfy_extras/nodes_custom_sampler.py
+++ b/comfy_extras/nodes_custom_sampler.py
@ -753,7 +753,7 @@ class SamplerCustom(io.ComfyNode):
            noise_mask = latent["noise_mask"]

        x0_output = {}
-        callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output)
+        callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output, shape=latent_image.shape if latent_image.is_nested else None)

        disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
        samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed)
@ -944,7 +944,7 @@ class SamplerCustomAdvanced(io.ComfyNode):
            noise_mask = latent["noise_mask"]

        x0_output = {}
-        callback = latent_preview.prepare_callback(guider.model_patcher, sigmas.shape[-1] - 1, x0_output)
+        callback = latent_preview.prepare_callback(guider.model_patcher, sigmas.shape[-1] - 1, x0_output, shape=latent_image.shape if latent_image.is_nested else None)

        disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
        samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed)
--- a/latent_preview.py
+++ b/latent_preview.py
@ -7,6 +7,7 @@ import comfy.model_management
 import folder_paths
 import comfy.utils
 import logging
+import math

 default_preview_method = args.preview_method

@ -109,7 +110,7 @@ def get_previewer(device, latent_format):
                previewer = Latent2RGBPreviewer(latent_format.latent_rgb_factors, latent_format.latent_rgb_factors_bias, latent_format.latent_rgb_factors_reshape)
    return previewer

-def prepare_callback(model, steps, x0_output_dict=None):
+def prepare_callback(model, steps, x0_output_dict=None, shape=None):
    preview_format = "JPEG"
    if preview_format not in ["JPEG", "PNG"]:
        preview_format = "JPEG"
@ -121,6 +122,10 @@ def prepare_callback(model, steps, x0_output_dict=None):
        if x0_output_dict is not None:
            x0_output_dict["x0"] = x0

+        if shape is not None:
+            cut = math.prod(shape[1:])
+            x0 = x0[:, :, :cut].reshape([x0.shape[0]] + list(shape)[1:])
+
        preview_bytes = None
        if previewer:
            preview_bytes = previewer.decode_latent_to_preview_image(preview_format, x0)
--- a/nodes.py
+++ b/nodes.py
@ -1505,7 +1505,7 @@ def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive,
    if "noise_mask" in latent:
        noise_mask = latent["noise_mask"]

-    callback = latent_preview.prepare_callback(model, steps)
+    callback = latent_preview.prepare_callback(model, steps, shape=latent_image.shape if latent_image.is_nested else None)
    disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
                                  denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step,
Author	SHA1	Message	Date
Jukka Seppänen	dd8cfaadfd	Merge `69603be5d2` into `c6238047ee`	2026-01-12 13:17:41 +08:00
comfyanonymous	c6238047ee	Put more details about portable in readme. (#11816 ) Some checks are pending Python Linting / Run Ruff (push) Waiting to run Details Python Linting / Run Pylint (push) Waiting to run Details Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.10, [self-hosted Linux], stable) (push) Waiting to run Details Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.11, [self-hosted Linux], stable) (push) Waiting to run Details Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.12, [self-hosted Linux], stable) (push) Waiting to run Details Full Comfy CI Workflow Runs / test-unix-nightly (12.1, , linux, 3.11, [self-hosted Linux], nightly) (push) Waiting to run Details Execution Tests / test (macos-latest) (push) Waiting to run Details Execution Tests / test (ubuntu-latest) (push) Waiting to run Details Execution Tests / test (windows-latest) (push) Waiting to run Details Test server launches without errors / test (push) Waiting to run Details Unit Tests / test (macos-latest) (push) Waiting to run Details Unit Tests / test (ubuntu-latest) (push) Waiting to run Details Unit Tests / test (windows-2022) (push) Waiting to run Details	2026-01-11 21:11:53 -05:00
kijai	69603be5d2	Rather check is_nested	2026-01-09 09:12:12 +02:00
kijai	04c0dd0737	Latent2rgb for LTXV	2026-01-08 20:15:22 +02:00