cpuimage / FreeU_TF

Unofficial Tensorflow 2 Implementation of FreeU: Free Lunch in Diffusion U-Net

Unofficial Tensorflow 2 Implementation Of FreeU: Free Lunch in Diffusion U-Net

Paper | Project Page | Video

FreeU, a method that substantially improves diffusion model sample quality at no costs: no training, no additional parameter introduced, and no increase in memory or sampling time.

📖 For more visual results, go checkout official project page

FreeU Code

import numpy as np
import tensorflow as tf


def Fourier_filter(x, threshold=1, scale=0.9):
    x_dtype = x.dtype
    x = tf.cast(x, tf.float32)
    # FFT
    x_freq = tf.signal.fft3d(tf.cast(x, dtype=tf.complex64))
    x_freq = tf.signal.fftshift(x_freq, axes=(1, 2, 3))
    B, H, W, C = x_freq.get_shape().as_list()
    mask = np.ones((1, H, W, C), dtype=np.complex64)

    crow, ccol = H // 2, W // 2
    mask[..., crow - threshold:crow + threshold, ccol - threshold:ccol + threshold, :] = scale
    x_freq = x_freq * mask

    # IFFT
    x_freq = tf.signal.ifftshift(x_freq, axes=(1, 2, 3))
    x_filtered = tf.signal.ifft3d(x_freq)
    x_filtered = tf.math.real(x_filtered)
    return tf.cast(x_filtered, x_dtype)


def free_u(h, hs_, active=False, b1=1.2, b2=1.4, s1=0.9, s2=0.2, axis=-1):
    if active:
        if h.get_shape().as_list()[axis] == 1280:
            h1, h2 = tf.split(h, num_or_size_splits=2, axis=axis)
            h = tf.keras.layers.Concatenate(axis=axis)([h1 * b1, h2])
            hs_ = Fourier_filter(hs_, threshold=1, scale=s1)
        if h.get_shape().as_list()[axis] == 640:
            h1, h2 = tf.split(h, num_or_size_splits=2, axis=axis)
            h = tf.keras.layers.Concatenate(axis=axis)([h1 * b2, h2])
            hs_ = Fourier_filter(hs_, threshold=1, scale=s2)
    return tf.keras.layers.Concatenate(axis=axis)([h, hs_])

Parameters

Feel free to adjust these parameters based on your models, image/video style, or tasks. The following parameters are for reference only.

SD1.x:

b1: 1.2, b2: 1.4, s1: 0.9, s2: 0.2

SD2.x

b1: 1.1, b2: 1.2, s1: 0.9, s2: 0.2

Range for More Parameters

When trying additional parameters, consider the following ranges:

• b1: 1 ≤ b1 ≤ 1.2
• b2: 1.2 ≤ b2 ≤ 1.6
• s1: s1 ≤ 1
• s2: s2 ≤ 1

Results from the community

If you tried FreeU and want to share your results, let me know and we can put up the link here.

• SDXL from Nasir Khalid
• comfyUI from Abraham
• SD2.1 from Justin DuJardin
• SDXL from Sebastian
• SDXL from tintwotin
• ComfyUI-FreeU (YouTube)
• ComfyUI-FreeU (中文)

Distributed under the MIT License. See LICENSE for more information.

Credits

Licenses for borrowed code can be found in following link:

• FreeU - https://github.com/ChenyangSi/FreeU
• KerasCV - https://github.com/keras-team/keras-cv

Donating

If this project useful for you, please consider buying me a cup of coffee or sponsoring me!