Comfyui Lowvram Setup
Use when configuring ComfyUI to generate SDXL isometric assets on a 12GB GPU (RTX 3060) without out-of-memory crashes.
Install
$ agentstack add skill-0xheycat-isometric-game-skills-comfyui-lowvram-setup ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-0xheycat-isometric-game-skills-comfyui-lowvram-setup) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
ComfyUI Low-VRAM Setup (12GB)
Overview
Most isometric asset failures on consumer GPUs are setup failures, not prompt failures. This skill gives a deterministic, low-VRAM-safe SDXL configuration so generations are reproducible and never OOM on a 12GB card.
When to Use
- Setting up ComfyUI on an RTX 3060 / 12GB or similar.
- Generations randomly crash, stall, or produce inconsistent output.
- You need reproducible results across a whole tile set.
Process
- Launch ComfyUI with low-VRAM flags:
--lowvram(or--medvram-sdxl) and--use-split-cross-attention. - Use one SDXL checkpoint for the whole project (e.g. juggernautXL). Never mix checkpoints mid-set.
- Set the sampler to DPM++ 2M Karras, 30 steps, CFG 6.5. Keep these FIXED for every asset.
- Load the matching SDXL VAE explicitly (sdxl_vae) - do not rely on baked VAE.
- FIX the seed for a tile set. A changing seed is the #1 cause of mismatched assets.
- Generate at 1024x1024, then downscale - do not generate above VRAM budget.
- Save the workflow JSON so the exact graph is reproducible and shareable.
python main.py --lowvram --use-split-cross-attentionRationalizations (Stop Lying to Yourself)
| Excuse | Reality | |---|---| | "I have enough VRAM, I will skip the flags" | One LoRA stack later you OOM mid-batch and lose the seed. Set flags up front. | | "Changing the seed makes assets more varied" | Varied = inconsistent. A tile set needs the SAME seed and settings. |
Red Flags - STOP if you catch yourself:
- Mixing checkpoints between assets in the same set.
- Letting the seed randomize across a tile set.
- Generating at 1536+ then wondering why it crashes.
Verification
You are NOT done until every box is checked:
- [ ] ComfyUI launches with low-VRAM flags and does not OOM on a full batch.
- [ ] Sampler, steps, CFG, VAE and seed are documented and fixed.
- [ ] The workflow JSON is saved and re-loads identically.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: 0xheycat
- Source: 0xheycat/isometric-game-skills
- License: MIT
- Homepage: https://0xheycat.github.io/isometric-game-skills/demo/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.