DMD2 Speed LoRA [SDXL, Pony, Illustrious]

This is the official DMD2 implementation LoRA from the Improved Distribution Matching Distillation for Fast Image Synthesis paper.dmd2_sdxl_4step_loraOriginal model at Huggingface tianweiy/DMD2.Recommended SettingsSteps: 8LoRA weight: 0.7Sampler: LCMScheduler: Normal, SimpleCFG: 1.4 - 1.8I use similar settings on both a low resolution base image, and the upscaled refinement pass (hires fix). The settings above are my personal recommendations, but I suggest you play around with the settings to find what works for you and the model you are using.Combining Both LoRAsIt's also been reported to perform better to use both the fp32 and fp16 at the same time at 0.5 weight each.Recommended LoRA weightLoad the LoRA like any other. I personally recommend a weight of 0.7, but others swear it's better at 1.0 in weight.UsageYou should be able to use it with any SDXL or similar checkpoint. Use the settings above.You can also merge this into a checkpoint and save that, to include the result of the LoRA into the checkpoint directly. This means you no longer need to load this as a LoRA, and you can still use it with LCM and low steps for good result.The LoRA itself doesn't add any speed improvement, it just allows you to generate at fewer steps, with better result.If the results are washed out, desaturated or bland, try increasing the CFG.In the comments below there are a bunch of interesting discussions, so please explore them. Here are a few noteworthy:https://civitai.red/models/1608870/dmd2-speed-lora-sdxl-pony-illustrious?commentId=991371&dialog=commentThreadhttps://civitai.red/models/1608870/dmd2-speed-lora-sdxl-pony-illustrious?commentId=1179404&dialog=commentThreadhttps://civitai.red/models/1608870/dmd2-speed-lora-sdxl-pony-illustrious?commentId=1034300&dialog=commentThreadhttps://civitai.red/models/1608870/dmd2-speed-lora-sdxl-pony-illustrious?commentId=1123128&dialog=commentThreadLicenceCreative Commons Attribution Non Commercial 4.0I am not the creator of the model, just uploading the model here to make it easier to download and reference in creations. Full credit goes to Tianwei Yin.