生成的样本的质量要高 high-quality sampling. 模态覆盖率要高/多样性 mode coverage/diversity. 快速高效的采样 fast and computational inexpensive sampling. 为了能在数据的边缘分布不是高斯分布的情况下, 也能减少采样的步数, 这种情况下既然真实的去噪过程的分布不再服从
Inspired by the recent efforts that leverage diffusion recovery likelihood learning as a cure for the sampling issue, we introduce a novel symbiosis between the diffusion models and latent space EBMs in a variational learning framework, coined as the latent diffusion energy-based model. We develop ...
Settings 中将Stop At last layers of CLIP model设为2 匹配NAI 的一个**优化**。 Settings 中将Eta noise seed delta设置为31337 将NovelAI 自动填充的正反标签前置在提示词组中 正向标签:masterpiece, best quality, 反向标签:lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, f...
Sampling method DPM++ 2M Karas Model F222 默认是SD模型,可以下载这个模型,F222主要用在女性身材生成上比较擅长: https://huggingface.co/acheong08/f222/blob/main/f222.ckpt 微调模型 Lora iu https://civitai.com/models/11722/iu 默认是SD模型,可以下载这个模型,F222主要用在女性身材生成上比较擅长: ...
Sampling Steps(采样步数)Stable Diffusion 的工作方式是从以随机高斯噪声起步,向符合提示的图像一步步降噪接近。随着步数增多,可以得到对目标更小、更精确的图像。但增加步数也会增加生成图像所需的时间。增加步数的边际收益递减,取决于采样器。一般开到 20~30。
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction Connections with Other Generative Models 1. Variational Autoencoder Understanding Diffusion Models: A ...
Faster sampling (i.e. even lower values of ddim_steps) while retaining good quality can be achieved by using --ddim_eta 0.0 and --plms (see Pseudo Numerical Methods for Diffusion Models on Manifolds). Beyond 256² For certain inputs, simply running the model in a convolutional fashion on...
suggesting that PMDM has great potential to generate more drug-like molecules with higher affinity outside the distribution of the dataset. The one-shot nature of PMDM ensures that the model effectively considers the global information of the molecule rather than sampling the local optimum atom lik...
Sampling Steps(采样步数)Stable Diffusion 的工作方式是从以随机高斯噪声起步,向符合提示的图像一步步降噪接近。随着步数增多,可以得到对目标更小、更精确的图像。但增加步数也会增加生成图像所需的时间。增加步数的边际收益递减,取决于采样器。一般开到 20~30。 不同采样步数与采样器之间的关系: CFG Scale(提示词...
Sampling Steps(采样步数)Stable Diffusion 的工作方式是从以随机高斯噪声起步,向符合提示的图像一步步降噪接近。随着步数增多,可以得到对目标更小、更精确的图像。但增加步数也会增加生成图像所需的时间。增加步数的边际收益递减,取决于采样器。一般开到 20~30。