comfyui-aspect-ratio-presets

comfyui-aspect-ratio-presets
★ 7

空latent长宽比预设按轴计算多模型支持
为 SD1.5/SDXL/Flux/Chroma/HiDream 快速生成常见分辨率与长宽比的空 latent 张量，支持预设与按轴计算，方便模型直接使用。
💡 快速生成适配目标模型的空latent分辨率与长宽比。
🍴 1 Forks💻 Python🔄 2025-08-26
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https://pan.quark.cn/s/b45acaa3411d
📦 requirements.txt
numpy
cas_aspect_ratio
📄 README

📐 CASNodes: Aspect Ratio Presets for ComfyUI

Unlock precision and convenience when generating empty latents for your favourite models in ComfyUI!

CASNodes (Custom ASpect Ratio Nodes) lets you select popular aspect ratio and resolution presets—optimized for Stable Diffusion 1.5, Stable Diffusion XL, Flux, Chroma, and HiDream—or define your own by axis and ratio.

✨ Features

  • Instant Dropdown Selection:

    • Choose from a wide range of common image aspect ratios and sizes.

  • Supports Leading Models:

    • Fully compatible with SD 1.5, SDXL, Flux, Chroma, and HiDream.

  • Two Node Modes:

  • From Preset: Pick from curated model/ratio presets.
  • By Axis: Enter one dimension, pick aspect ratio, and auto-calculate the other.
  • Clean ComfyUI Integration:

    • Appears under the standard latent category—no clutter, pure utility.

    📦 Installation

    1. With ComfyUI Custom Node Manager (Recommended)

  • Open ComfyUI
  • Go to Custom Node Manager
  • Search for comfyui-aspect-ratio-presets
  • Click Install

    • 2. Manual (GitHub)

    cd YOUR_COMFYUI/custom_nodes
git clone https://github.com/budihartono/comfyui-aspect-ratio-presets.git

  • Restart ComfyUI

    • 🛠️ Usage

  • Find your new nodes under the latent group:

  • CAS Empty Latent Aspect Ratio from Preset
  • CAS Empty Latent Aspect Ratio by Axis

  • Preset Mode:

    • Select a resolution and aspect ratio like:

  • 1024x1024 1:1 Square - SDXL
  • 912x512 16:9 Landscape - SD15
  • 1216x832 3:2 Landscape - Flux

    • *The output is a ready-to-use empty latent tensor, correctly sized for your model.*

  • By Axis Mode:

  • Enter a width or height.
  • Pick your aspect ratio (e.g., 3:2 Landscape).
  • The node calculates the matching dimension.

    • 💡 Typical Workflow

    graph LR
A[CAS Empty Latent Node] --> B(KSampler) --> C(VAEDecode) --> D(Output)

  • Add a CASNodes latent node
  • Connect it to KSampler (or any node needing a latent)
  • Decode and save as usual!

    • 📚 Supported Aspect Ratios & Models

  • All presets are tailored for leading models:

  • Stable Diffusion 1.5
  • Stable Diffusion XL
  • Flux
  • Chroma
  • HiDream
  • You can add your own in presets.py!

    • 📝 Credits

    Developed by @budihartono

    Open source for the benefit of the community.

    Contributions are welcome, but please note: this project is provided as-is, and active support or responses to issues/pull requests may be limited or unavailable.

    Enjoy supercharged workflows, perfectly matched to your favourite diffusion models!