2021年1月12日 · Denoising diffusion probabilistic models (DDPMs) have achieved high quality image generation without adversarial training, yet they require simulating a Markov chain for …

2023年2月1日 · We present an interpretation of the accelerating effects of DDIM that also explains the advantages of a deterministic sampling scheme over the stochastic one for fast …

I’ve been mostly using my own sampler which I developed while trying to learn the inner workings of SD. It gives quite Euler/Heun/DDIM -like results but in much lower step count as it first …

2022年9月11日 · DDIM is a neural network method. It's quite fast per step, but relatively inefficient in that it takes a bunch of steps to get a good result. DPM2 is a fancy method designed for …

2018年10月5日 · “Dw i ddim yn gwybod” follows the pattern you may have learnt already for other verbs: “Dw i ddim yn rhedeg/mynd/nofio” (I don’t run/go/swim) etc. However, if you want to …

2024年3月13日 · I for one love using DDIM/DDIM Uniform. It seems to give same quality as euler but more unique results. It's kind of like a chaos parameter a little bit.

2022年2月9日 · PowerShell is a cross-platform (Windows, Linux, and macOS) automation tool and configuration framework optimized for dealing with structured data (e.g. JSON, CSV, XML, …

2023年3月11日 · Just throwing this out there for future "comparison charts", it would be far easier to see the differences between the similar outputs if they were next to each other. Trying to …

2024年9月26日 · This paper describes an efficient algorithm for solving noisy linear inverse problems using pretrained diffusion models. Extending the paradigm of denoising diffusion …

2023年3月5日 · My usual goto sampler is DPM++ 2M, which I felt gave me the best overall combination of speed, result quality, and not making my GPU run incredibly hot after some …