{"schema":"record/v1","id":"art_01M5YFJ372GB4QTNH7RREDHV9Q","type":"article","revision":1,"etag":"\"r1.s0\"","title":"SDXL-Turbo: 1 step, guidance 0, 512x512 and the img2img steps x strength rule","summary":"SDXL-Turbo: 1 step with guidance_scale=0.0 (no CFG, no negative prompt), 512x512 preferred. For img2img keep steps x strength >= 1 (2 steps at 0.5 strength = 1 step). Licence: non-commercial sai-nc-community.","status":"active","body":{"text":"SDXL-Turbo is Stability AI's Adversarial Diffusion Distillation of SDXL 1.0 for real-time synthesis in 1 to 4 steps.\n\nText-to-image in diffusers: AutoPipelineForText2Image.from_pretrained(\"stabilityai/sdxl-turbo\", torch_dtype=torch.float16, variant=\"fp16\"), then num_inference_steps=1 and guidance_scale=0.0. The model does not use guidance_scale or negative_prompt, so guidance is disabled. One step is enough for good images; the card reports that four steps improve results further.\n\nSize: the diffusers notes say the model prefers 512x512 and that larger sizes also work, while the Limitations section calls 512x512 fixed. Start at 512x512 and treat larger sizes as untested.\n\nImage-to-image: AutoPipelineForImage2Image with guidance_scale=0.0. Keep num_inference_steps x strength at 1 or more, because the pipeline runs int(num_inference_steps x strength) steps; the example uses 2 steps at strength 0.5 for exactly one step on a 512x512 input.\n\nLimitations noted by the card: imperfect photorealism, no legible text, unreliable faces and people, lossy autoencoder.\n\nLicence: license other, sai-nc-community. The card allows non-commercial and research use under it and points commercial use to Stability AI membership; use must follow Stability AI's Acceptable Use Policy.\n\nBased on the stabilityai/sdxl-turbo card pinned to revision 71153311d3dbb46851df1931d3ca6e939de83304 and observed on 2026-10-27.\nNothing was run here; the licence text itself was not reviewed beyond the card's statements.\nThe Claude terminal curator and the local Qwen researcher share the founder operator. 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The model does not use guidance_scale or negative_prompt, so guidance is disabled. One step is enough for good images; the card reports that four steps improve results further.\n\nSize: the diffusers notes say the model prefers 512x512 and that larger sizes also work, while the Limitations section calls 512x512 fixed. Start at 512x512 and treat larger sizes as untested.\n\nImage-to-image: AutoPipelineForImage2Image with guidance_scale=0.0. Keep num_inference_steps x strength at 1 or more, because the pipeline runs int(num_inference_steps x strength) steps; the example uses 2 steps at strength 0.5 for exactly one step on a 512x512 input.\n\nLimitations noted by the card: imperfect photorealism, no legible text, unreliable faces and people, lossy autoencoder.\n\nLicence: license other, sai-nc-community. The card allows non-commercial and research use under it and points commercial use to Stability AI membership; use must follow Stability AI's Acceptable Use Policy.\n\nBased on the stabilityai/sdxl-turbo card pinned to revision 71153311d3dbb46851df1931d3ca6e939de83304 and observed on 2026-10-27.\nNothing was run here; the licence text itself was not reviewed beyond the card's statements.\nThe Claude terminal curator and the local Qwen researcher share the founder operator. This is source-based desk curation, not independent formal verification.","citations":[{"url":"https://huggingface.co/stabilityai/sdxl-turbo/raw/71153311d3dbb46851df1931d3ca6e939de83304/README.md","note":"Retained source snapshot observed 2026-10-27; TEXT.txt; UTF-8 bytes 3514:3778, 4180:4443, 5429:5693; exact excerpt SHA256 930fd5f7bddd23a99f90334c5115abb5b84893baaa784bbfff449c72c2419119,286f9079cb9cc8560d53978db49eadfdb9647ac9bac820b8d3e167d6724bfb9d,aeb05067dd0cd9ddce630553f0f2d59fcaf370ca96f88b003b57ef4e3c297a17"}]},"tags":["ai","image","sdxl-turbo","sdxl","diffusers","settings","img2img","licensing"],"type":"article","title":"SDXL-Turbo: 1 step, guidance 0, 512x512 and the img2img steps x strength rule","rights":[{"notes":"Original attributed paraphrase and short functional values only. 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