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This tutorial covers Ernie Image Turbo in Draw Things for local AI image generation on Apple devices. The speaker describes Ernie Image as an open source 8B model and recommends Turbo for users who do not plan to train it. Their download advice is the 8-bit S version for M3 or newer devices and the 6-bit version for older hardware. The stated model sizes are about 8 GB and 6 GB respectively, plus roughly 4 GB for the Mistral 3B text encoder. The Flux 2 VAE can be reused if Klein is already downloaded.
The Draw Things version does not include Ernie's prompt enhancer. The speaker explains how to give the shared Chinese or English enhancement rules to another LLM to expand simple prompts. Suggested generation settings are eight steps, CFG 1, a trailing sampler or AYS, and a fixed shift of 4. They report JPEG-like artifacts when shift drops to 1.
For 1024 × 1024 images at eight steps, the speaker reports about 73 seconds on M4 Pro and 62 seconds on M5. These are results from their testing. They rate Chinese text rendering and structured infographics highly, preferring the latter to Qwen Image 2512, and compare portrait realism with Z Image Turbo and Flux Klein 9B. One reported limitation is weak reproduction of specific celebrities: outputs show general likenesses. The speaker's suggestion that this behavior is intentional remains an impression.