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 many steps in order to produce a sample.

2022年9月3日 · DDIM was implemented by CompVis group and was default (slightly different update rule than the samplers below, eqn 15 in DDIM paper is the update rule vs solving eqn 14's ODE directly) PLMS was implemented by Katherine a while back and added, sped up convergence from like 250 steps to 50 steps

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 sampling. Building on this insight, we extend DDIM to general DMs, coined generalized DDIM (gDDIM), with a small but delicate modification in parameterizing the score network.

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 ‘overshoots’ in the first six steps (overdoing the changes) and then just does Euler speedrun for the remaining steps, i.e. getting to right base image quickly and then just optimizing for speed …

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10月19日 · 3. Use DDIM inversion with the first prompt. Now you have a init latent that can reconstruct the image given the first prompt 4. Use DDIM normally with the edited prompt. This should produce the edited image. The total runtime should be between `1x~2x times the normal txt2img generation.

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 diffusion models explicitly aiming to improve on DDIM …

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, etc.), REST APIs, and object models.

2022年8月24日 · --n_iter is no of iteration it would go. --ddim_steps is no of steps it will go to produce it. if you make --ddim_steps more it will take longer and clearer photo will less "noise". keep --ddim_steps min 50 max as much as u like. for 5 identical image it should be -seed x --n_iter 1 --n_samples 1 --ddim_steps 50

2024年1月4日 · Ddim means "not" - so "Dw i ddim yn yfed coffi." means "I am not drinking coffee / I do not drink coffee". means "I am not drinking coffee / I do not drink coffee". The ddim goes where it does ( between the subject i and the particle yn ) …