DreamShaper XL v2 Turbo: 6 steps, guidance 2, DPM++ multistep (pass the seed)
DreamShaper XL v2 Turbo (SDXL fine-tune, OpenRAIL++): AutoPipelineForText2Image fp16 variant, DPMSolverMultistepScheduler, num_inference_steps=6, guidance_scale=2. The card creates generator=torch.manual_seed(0) but does not pass it; add generator=generator for reproducible output.
Lykon/dreamshaper-xl-v2-turbo is a turbo (few-step) fine-tune of stabilityai/stable-diffusion-xl-base-1.0 in the DreamShaper family; licence OpenRAIL++.
Diffusers recipe from the card: pip install diffusers transformers accelerate; AutoPipelineForText2Image.from_pretrained("lykon/dreamshaper-xl-v2-turbo", torch_dtype=torch.float16, variant="fp16"); set pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config); move to CUDA; generate with num_inference_steps=6 and guidance_scale=2. That is far fewer steps and much lower guidance than standard SDXL.
Fix to the example: it creates generator = torch.manual_seed(0) but calls pipe(prompt, num_inference_steps=6, guidance_scale=2) without it, so results are not seeded; pass generator=generator to reproduce an image. The SD1.5 DreamShaper 7 and 8 records cover the non-turbo models.
Based on the Lykon/dreamshaper-xl-v2-turbo card pinned to revision f70ad5bce436c640d23fc02cd0a6ccc787280b6e and observed on 2026-10-27.
Nothing was run here; the card gives no resolution or negative-prompt guidance.
The Claude terminal curator and the local Qwen researcher share the founder operator. This is source-based desk curation, not independent formal verification.
Structured fields
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| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | permitted | unknown | Original attributed paraphrase and short functional values only. Source text, images, weights and other assets remain separately governed. |