在 Stable Diffusion 上,25 步的 DPM-Solver 就可以获得优于 50 步 PNDM 的采样质量,因此采样速度直接翻倍! 项目链接: DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps:https://arxiv.org/abs/2206.00927(NeurIPS 2022 Oral) DPM-Solver++: Fast Solver for Gui...
在 Stable Diffusion 上,25 步的 DPM-Solver 就可以获得优于 50 步 PNDM 的采样质量,因此采样速度直接翻倍! 项目链接: DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps:https://arxiv.org/abs/2206.00927(NeurIPS 2022 Oral) DPM-Solver++: Fast Solver for Gui...
而DPM-Solver的做法是将(1)当作一个非齐次微分方程,将 xs 当成该方程的一个特解,通过常数变异法得到: 论文《DPM-Solver: A Fast ODE Solver for DiffusionProbabilistic Model Sampling in Around 10 Steps》中的公式3.1 通过变量等价替换得到: 论文《DPM-Solver: A Fast ODE Solver for DiffusionProbabilistic Mo...
1.打开webUI目录下的\repositories\k-diffusion\k-diffusion,找到samping.py 2.将下面的代码添加至sampling.py的末尾并保存 @torch.no_grad()defsample_dpmpp_2m_test(model,x,sigmas,extra_args=None,callback=None,disable=None):"""DPM-Solver++(2M)."""extra_args={}ifextra_argsisNoneelseextra_argss...
DPM-Solver++2M is the fastest solver currently. Also many Thanks to Katherine Crowson's k-diffusion repo. Diffusers, a widely-used library for diffusion models. Stable-Diffusion v2 Official Code and Stable-Diffusion v1 Official Code. Check this pull request. Stable-Diffusion v2.0 Online Demo ...
Describe the bug Hello @patrickvonplaten and @williamberman 🤗 Running StableDiffusionPipeline with DPMSolverSinglestepScheduler and use_karras_sigmas=True triggers the error RuntimeError: a Tensor with 2 elements cannot be converted to S...
dpmsolver.zip 丧心**院长上传64.65 MB文件格式zipdiffusion-modelsmachine-learningscore-based-generative-modelsstable-diffusion Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)...
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通过将 DPM-Solver 加入到 stable-diffusion 模型中,可以经过 15-20 步迭代获得与原始模型迭代 1000 步相近的图像生成效果;出图延时从 8s 降低到了 4s。目前,DPM-Solver 已经成为了 Diffusers、Stable Diffusion v1&v2、Stable-diffusion-WebUI 等开源大模型的默认采样方法。基于 DPM-Solver 的 stable diffusion ...
The commonly-used fast sampler for guided sampling is DDIM, a first-order diffusion ODE solver that generally needs 100 to 250 steps for high-quality samples. Although recent works propose dedicated high-order solvers and achieve a further speedup for sampling without guidance, their effectiveness ...