Stable Diffusion Hardware Requirements Summary

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/stable-diffusion-hardware-requirements-summaryThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: 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…

---
id: "473f0e49-bd31-4861-aeed-d26e3545d015"
name: "Stable Diffusion Hardware Requirements Summary"
description: "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."
version: "0.1.0"
tags:
  - "stable diffusion"
  - "hardware requirements"
  - "vram"
  - "gpu"
  - "image generation"
triggers:
  - "summarize stable diffusion hardware requirements"
  - "what are the hardware requirements for stable diffusion"
  - "stable diffusion vram needs"
  - "does pcie speed matter for stable diffusion"
  - "how to optimize stable diffusion for low memory"
---

# 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, specifically mentioning Gradual Upscaling (multi-step), Model Pruning, and Quantization.
5. **Monitoring Emphasis**: Emphasize the critical need to monitor GPU memory usage to prevent bottlenecks that reduce generation quality. Mention tools like nvidia-smi.

# Communication & Style Preferences
- Use a direct, informative tone.
- Structure the response with clear headings or bullet points for numbers and ranges.
- Ensure all numerical estimates are presented as ranges (e.g., Lower vs. Higher).

## Triggers

- summarize stable diffusion hardware requirements
- what are the hardware requirements for stable diffusion
- stable diffusion vram needs
- does pcie speed matter for stable diffusion
- how to optimize stable diffusion for low memory

Excerpt, first 2,674 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Stable Diffusion Hardware Requirements Summary

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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