Ernie Image Turbo is not bad at all (Using INT8 quant and Gemini for prompt enhancement, RTX 30 series GPU with low vram)
A new workflow combines INT8 quantization for 2x speed on RTX 30 cards with AI-enhanced prompts for superior image generation.
A viral AI image generation workflow is gaining attention for its clever combination of performance optimization and prompt engineering to get high-quality results from Baidu's Ernie Image Turbo model. The method tackles two common hurdles: slow inference on consumer hardware and vague user prompts that lead to poor outputs. The solution is a two-pronged approach implemented within the popular ComfyUI interface.
For performance, the workflow employs a custom node called 'INT8 Fast' by BobJohnson24, which loads the image model using INT8 quantization. This technique reduces the model's memory footprint and computational load, reportedly delivering 1.5x to 2x speed increases specifically on NVIDIA RTX 30-series GPUs. This is a significant boost for users with limited VRAM, making high-quality image generation more accessible. For quality, the workflow uses an AI agent, suggested to be a model like Gemini, as a dedicated prompt optimizer. This agent follows a strict set of rules to transform a user's simple request into a detailed, concrete, and visually rich description, ensuring all critical elements like text, characters, and style are preserved and specified for the image model.
The prompt enhancer operates via a detailed system prompt that instructs it to act as an expert optimizer. Its job is to rewrite raw requests into objective visual descriptions, fill in coherent scene details, and crucially, select the most appropriate image resolution (e.g., 1024x1024, 848x1264) based on the described composition—portrait for characters, landscape for wide scenes, etc. It outputs its analysis in strict JSON format, making it easily integrable into an automated pipeline. This combination of hardware-aware speed hacking and intelligent prompt refinement demonstrates a sophisticated, user-built approach to maximizing the potential of existing AI image models.
- Uses INT8 quantization via a ComfyUI custom node for 1.5-2x faster inference on RTX 30-series GPUs, crucial for users with limited VRAM.
- Employs an AI agent (like Gemini) with a detailed system prompt to rigorously optimize and expand user requests into concrete, visual descriptions.
- The prompt enhancer automatically selects the ideal image resolution (from 1024x1024 to 1376x768) based on scene composition and outputs structured JSON for automation.
Why It Matters
This workflow democratizes high-quality AI image gen by making it faster on consumer hardware and more reliable through automated, expert-level prompt engineering.