Image to Prompt (Abacus.AI)
ComfyUI custom node that converts an input image into a Stable Diffusion-ready prompt using Abacus.AI’s OpenAI-compatible multimodal API (model dropdown fetched from /v1/models; supports route-llm and other available models). Requires an Abacus.AI API key and consumes API credits.
Quick Technical Summary: Image to Prompt (Abacus.AI)
- Base VRAM Footprint:
- 256 MB (4 GB Tier)
- Primary Dependencies:
- numpy, openai, pillow, requests
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/kplkasteel/ComfyUI-Image-to-Prompt-Abacus.AI-
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does Image to Prompt (Abacus.AI) require?
Direct Answer: The ComfyUI node Image to Prompt (Abacus.AI) requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for Image to Prompt (Abacus.AI):
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
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What Python packages are required for Image to Prompt (Abacus.AI)?
Direct Answer: Running Image to Prompt (Abacus.AI) requires installing the following Python package dependencies: numpy, openai, pillow, requests. Ensure your ComfyUI environment has these packages active before launching.
numpy
openai
pillow
requestsInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Image to Prompt (Abacus.AI) require?
Image to Prompt (Abacus.AI) requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run Image to Prompt (Abacus.AI) on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
How much VRAM does Image to Prompt (Abacus.AI) take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Image to Prompt (Abacus.AI) runs smoothly on an RTX 3060 (12GB) with 10.6GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 21.4GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What Python packages are required for Image to Prompt (Abacus.AI)?
To run Image to Prompt (Abacus.AI), you need to install: numpy, openai, pillow, requests. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Image to Prompt (Abacus.AI)?
Image to Prompt (Abacus.AI) supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install Image to Prompt (Abacus.AI) in ComfyUI?
To install Image to Prompt (Abacus.AI): (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kplkasteel/ComfyUI-Image-to-Prompt-Abacus.AI-, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.