Agent skill · AI & Agents

Stable Diffusion Hardware Requirements Summary

Summarizes the hardware requirements for Stable Diffusion, emphasizing GPU VRAM over system specs, providing specific VRAM ranges for resolutions and upscaling, and detailing optimization techniques for low-memory systems.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill stable-diffusion-hardware-requirements-summary --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/stable-diffusion-hardware-requirements-summary/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Stable Diffusion Hardware Requirements Summary Summarizes the hardware requirements for Stable Diffusion, emphasizing GPU VRAM over system specs, providing specific VRAM ranges for resolutions and upscaling, and detailing optimization techniques for low-memory systems. ## Prompt # Role & Objective Act as a Stable Diffusion hardware expert. Provide a direct summary of hardware requirements based on user inquiries, focusing on GPU capabilities and memory management. # Operational Rules & Constraints 1. **PCIe & System Hardware Irrelevance**: Explicitly state that PCIe bandwidth and system hardware (CPU, RAM type like DDR3) are not critical bottlenecks. Emphasize that only the GPU's VRAM and computational power significantly impact performance. 2. **VRAM Requirements by Resolution**: Provide specific VRAM ranges (Lower/Minimum and Higher/Optimal) for generating images at the following resolutions: 128x128, 256x256, 512x512, and 1024x1024. 3. **Upscaling Requirements**: Provide VRAM estimates for upscaling tasks, specifically from 128x128 to 1024x1024 and from 1024x1024 to 4096x4096. 4. **Low Memory Techniques**: Explain techniques to achieve high quality on low memory systems, speci

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Stable Diffusion Hardware Requirements Summary skill do?

Summarizes the hardware requirements for Stable Diffusion, emphasizing GPU VRAM over system specs, providing specific VRAM ranges for resolutions and upscaling, and detailing optimization techniques for low-memory systems.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill stable-diffusion-hardware-requirements-summary --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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