https://github.com/CompVis/stable-diffusionlsun_beds256-model sd-v1-4LSUN-Bedroom MS-COCO2014Uncond/Latent-Space Cond/Latent-Space Documentation We provide the PyTorch implementation of DPM-Solver-v3 in a single filedpm_solver_v3.py. We suggest referring to the code examples for its practica...
burgalonmentioned this issueNov 26, 2023 refactor DPMSolverMultistepScheduler using sigmas#4986 Merged 4 tasks Contributor patrickvonplatencommentedNov 27, 2023 Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment...
例如,下图展示了不同采样算法在 Stable-Diffusion 上随着步数变化的效果,可见 DPM-Solver 在 10 到 15 步就可以获得非常高质量的采样: 使用DPM-Solver DPM-Solver 的使用非常简单,既可以基于作者提供的官方代码,也可以使用主流的 Diffusers 库。例如,基于作者提供的官方代码(https://github.com/LuChengTHU/dpm-sol...
例如,下图展示了不同采样算法在 Stable-Diffusion 上随着步数变化的效果,可见 DPM-Solver 在 10 到 15 步就可以获得非常高质量的采样: 使用DPM-Solver DPM-Solver 的使用非常简单,既可以基于作者提供的官方代码,也可以使用主流的 Diffusers 库。例如,基于作者提供的官方代码(https://github.com/LuChengTHU/dpm-sol...
we demonstrate that previous high-order fast samplers suffer from instability issues, and they even become slower than DDIM when the guidance scale grows large. To further speed up guided sampling, we propose DPM-Solver++, a high-order solver for the guided sampling of DPMs. DPM-Solver++ solve...
https://github.com/LuChengTHU/dpm-solver 官方代码对 4 种扩散模型都进行了支持: 并且同时支持 unconditional sampling、classifier guidance 和 classifier-free guidance: 而基于 Diffusers 库的 DPM-Solver 同样很简单,只需要定义 scheduler 即可: 此外,作者团队还提供了一个在线 Demo: ...
https://github.com/LuChengTHU/dpm-solver 官方代码对 4 种扩散模型都进行了支持: 并且同时支持 unconditional sampling、classifier guidance 和 classifier-free guidance: 而基于 Diffusers 库的 DPM-Solver 同样很简单,只需要定义 scheduler 即可: 此外,作者团队还提供了一个在线 Demo: ...
1 change: 1 addition & 0 deletions 1 ldm/models/diffusion/dpm_solver/__init__.py Original file line numberDiff line numberDiff line change @@ -0,0 +1 @@ from .sampler import DPMSolverSampler 1,157 changes: 1,157 additions & 0 deletions 1,157 ldm/models/diffusion/dpm_solver/dpm_...
Theoretically speaking, I don't think the implementation of the SDE-variant of DPM-Solver / DPM-Solver++ in k-diffusion or in DPMSolverSDEScheduler is corresponding to the reverse diffusion SDE, th...
config.algorithm_type = 'sde-dpmsolver++' model.scheduler= SdeScheduler if (karrasSigmas) : model.scheduler.config.use_karras_sigmas=True return self.offload(model, device) class Load_Stage_II(Load_Encoder): RETURN_TYPES = ("S2_MODEL",) @classmethod def INPUT_TYPES(cls): models = list(...