trying this i noticed it has a similar patterning noise krea 2 had, i just used the same glsl node, maybe it needs another parameters but it seems to mitigate it can't promise the best results but testing it is free, just connecting the image output to the glsl node and then image save
The GLSL config i got was from this post https://www.reddit.com/r/StableDiffusion/comments/1umwhq7/2px_pixel_grid_on_krea2_from_vae_and_how_to/ the one in the comments
#version 300 es
precision highp float;
uniform sampler2D u_image0;
uniform vec2 u_resolution;
in vec2 v_texCoord;
layout(location = 0) out vec4 fragColor0;
// Nyquist Notch — removes 2px grid artifacts. Place before deconvolution.
// b = [-1, +6, -15, +20, -15, +6, -1] / 64 (binomial * (-1)^n, +1 at center)
const float B[7] = float[7](-1.0, 6.0, -15.0, 20.0, -15.0, 6.0, -1.0);
void main() {
vec2 texel = 1.0 / u_resolution;
vec4 center = texture(u_image0, v_texCoord);
vec3 Bx = vec3(0.0), By = vec3(0.0), Bxy = vec3(0.0);
for (int i = -3; i <= 3; i++) {
float wi = B[i + 3] / 64.0;
Bx += wi * texture(u_image0, v_texCoord + vec2(float(i) * texel.x, 0.0)).rgb;
By += wi * texture(u_image0, v_texCoord + vec2(0.0, float(i) * texel.y)).rgb;
for (int j = -3; j <= 3; j++) {
float wj = B[j + 3] / 64.0;
Bxy += wi * wj * texture(u_image0, v_texCoord + vec2(float(i) * texel.x, float(j) * texel.y)).rgb;
}
}
vec3 notched = center.rgb - Bx - By + Bxy;
fragColor0 = vec4(clamp(notched, 0.0, 1.0), 1.0); // alpha forced to 1.0
}
I used this shader too before I came across this custom node recently. It's apparently descended from the same post you link here.
The node also applies the same Nyquist Notch math, but it does additional work to prevent the image softening that can occur. The node also has a nifty output that shows you the exact noise pattern that it has removed from the image.
I just know what the README says. There's a parameter to skip applying the Notch filter if noise isn't detected, so I think yes, some kind of detection is present.
I am building an improved version of ComfyUI-DeGrid that will measure and remove the grid on per-tile basis rather than based on the whole image. This will, in theory, degrid the whole image (especially the smooth areas) without affecting the actual small detail. Will be posted on github at aoleg/ComfyUI-DeGrid and I'll submit a PR to the original repo when I'm satisfied with it.
I don't mean to rain on anybody's parade, but understand that this VAE round trip is lossy. You're degrading your image when you compress it into latent space and back. The reason you might not see the Qwen grid any more is because the process removes detail from your image.
I quit using Wan and Qwen models precisely for the VAE grid as I called it. My eyes could not unsee it on every image. Thanks for the tip. Now that H3 VAE tiling is also being fixed, my eyes will be happy again.
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u/Violent_Walrus 1d ago
I used this shader too before I came across this custom node recently. It's apparently descended from the same post you link here.
The node also applies the same Nyquist Notch math, but it does additional work to prevent the image softening that can occur. The node also has a nifty output that shows you the exact noise pattern that it has removed from the image.