update: 2025/10/07: Based on TaylorSeer-Lite, support Qwen-Image.
update: 2025/09/25: Support TaylorSeer-Lite, reducing cache quantity with negligible VRAM increase. Based on TaylorSeer-Lite, now supporting WAN 2.1/2.2 models.
update: 2025/05/25: Support block swap, now you can run it with low VRAM
update: 2025/05/13: Support Hidream, force VRAM purge when checkpoint is changed
update: 2025/04/30: First release, supporting FLUX.

Quick Start

Installation

Navigate to ComfyUI/custom_nodes
Clone this repository
Run ComfyUI after installation is complete!

Running the Workflow

Workflow for FLUX

Workflow for Hidream

Workflow for FLUX-TaylorSeer-Lite

Workflow for WAN-2.2-TaylorSeer-Lite

Workflow for Qwen-Image-TaylorSeer-Lite

Usage Instructions

Using TaylorSeer Standard Version

Memory Requirements Flux: The cache needs to be stored in GPU memory for efficient computation. For a 1024*1024 image using FLUX FP8 precision model:

Order 0: Increases VRAM usage by 2GB
Order 1: Increases VRAM usage by 4GB
Order 2: Increases VRAM usage by 6GB

VRAM usage increases linearly with resolution and number of images.

Memory Requirements Hidream: The cache needs to be stored in GPU memory for efficient computation. For a 1024*1024 image using Hidream-full FP8 precision model:

Order 0: Increases VRAM usage by 5GB
Order 1: Increases VRAM usage by 10GB
Order 2: Increases VRAM usage by 15GB

VRAM usage increases linearly with resolution and number of images.

Acceleration Ratio: The first_enhance parameter can adjust when Taylor Cache intervenes. When first_enhance = 10, with 30 iteration steps, the results are almost lossless compared to the original results, and the acceleration ratio can reach 2x.

Using TaylorSeer-Lite

Nearly zero VRAM increase.

Exciting Performance on WAN 2.2: For 81 frames generation on RTX 5090, TaylorSeer-Lite achieves remarkable acceleration - 386s vs 1176s (3.05x speedup) compared to the original implementation!

Comparison with teacache

Compared to TeaCache, TaylorSeer maintains a higher acceleration ratio and preserves more consistent composition and elements relative to the original image.

| Prompt | Original<br>(steps = 50, 2.42it/s) | TaylorSeer<br>(steps = 50, order = 1, first_enhance = 10, 5.73it/s) | TeaCache<br>(steps = 50, rel_l1_thresh = 0.25, 4.08it/s) | TeaCache<br>(steps = 50, rel_l1_thresh = 0.40, 5.32it/s) | |--------|----------|------------|-----------|-----------| | fashion photo of a model wearing black draped plastic fabric designed by Demna Gvasalia, standing in an apocalyptic room, sunglasses, synthetic light, 4K, photoreal, 3D render, | <img src="./sample_images/12_original.png" width="200px"> | <img src="./sample_images/12_TaylorSeer.png" width="200px"> | <img src="./sample_images/12_teacache_25.png" width="200px"> | <img src="./sample_images/12_teacache_40.png" width="200px"> | | This picture depicts an anime scene that revolves around a young girl. She is characterized by purple hair tied into two ponytails, each decorated with a bow and pink earmuffs. The girl is wearing dark clothes, a vest-style top and shorts. She has a happy expression, a big smile on her face, and a pearl or something delicate in her mouth, as if she is jokingly feeding herself. | <img src="./sample_images/122_original.png" width="200px"> | <img src="./sample_images/122_TaylorSeer.png" width="200px"> | <img src="./sample_images/122_teacache_25.png" width="200px"> | <img src="./sample_images/122_teacache_40.png" width="200px"> |

License

The code in this repository is released under the GNU General Public License v3.0.