"" def __init__(self, sde, score_fn, probability_flow=False): super().__init__(sde, score_fn, probability_flow) if not isinstance(sde, sde_lib.VPSDE) and not isinstance(sde, sde_lib.VESDE): raise NotImplementedError(f"SDE class {sde.__class__.__name__} not yet supported.")...
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扩散模型是一种生成模型,在过去的几年里忽然火了起来,这其中也是有一定原因的。 单看2020前后的几篇开创性的文章我们就可以知道扩散模型的性能了,比如在图像生成方面打败了GANs。最近,研究人员想必也都看到了OpenAI上个月发布的图像生成模型DALL-E 2中也是用到了扩散模型。 DALL-E 2使用同一个caption生成的不同...
In particular, we can transform data to a simple noise distribution with a continuous-time stochastic process described by an SDE. This SDE can be reversed for sample generation if we know the score of the marginal distributions at each intermediate time step, which can be estimated with score...
sde_type vpsde --beta_start 0.1 --beta_end 20.0 --sigma2_0 0.0 \ --weight_decay_norm_dae 1e-2 --weight_decay_norm_vae 1e-2 --time_eps 0.01 --train_ode_eps 1e-6 --eval_ode_eps 1e-6 \ --train_ode_solver_tol 1e-5 --eval_ode_solver_tol 1e-5 --iw_sample_p drop...
sde_lib.py make vp work Dec 1, 2021 utils.py testing almost completed Oct 29, 2021 Conditional Image Generation with Score-Based Diffusion Models This repository is an extension of the code base provided by Yang Song for the paperScore-Based Generative Modeling through Stochastic Differential Equa...
score_sde_vp Score-Based Generative Modeling through Stochastic Differential Equations Unconditional Image Generation semantic_stable_diffusion Semantic Guidance Text-Guided Generation stable_diffusion_text2img Stable Diffusion Text-to-Image Generation stable_diffusion_img2img Stable Diffusion Image-to-Image Tex...
Score-Based Generative Modeling through Stochastic Differential Equations score_sde_pytorch denoising-diffusion-pytorch Authors Heyang Xue(https://github.com/WelkinYang) and Qicong Xie(https://github.com/QicongXie) Releases No releases published ...
This repository will use denoising diffusion rather than score-based SDE, and may potentially offer elucidated version as well. It will also offer improvements for the attention / transformer components wherever applicable. Appreciation Stabilityand🤗 Huggingfacefor their generous sponsorships to work on...
The script has various arguments to adjust sampler configurations (ODE & SDE), sampling steps, change the classifier-free guidance scale, etc. For example, to sample from our 256x256 SiT-XL model with default ODE setting, you can use: python sample.py ODE --image-size 256 --seed 1 For...