AIGC时代的“残差模块”：LoRA模型 Stable Diffusion模型深入浅出完整解析 Stable Diffusion的常用辅助插件...
从技术上讲，这个组件由一个 UNet 神经网络和一个调度算法组成 (scheduling algorithm)。扩散 (Diffusion...
repeats is the number of times our training algorithm will go over each image per epoch. We get the repeats from the number we used in the name our training image folder earlier. Our folder name was 6_lisabp woman, and 6 was the number of repeats. epochs is a setting you can change...
The sampling mode of the diffusion denoising algorithm. Different sampling methods deliver different effects. Select an appropriate sampling method based on your needs. Euler a, DPM++ 2s a, and DPM++ 2s a Karras are similar in the overall composition of the image. Euler, DPM++ 2m and DPM++...
Midjourney has only a few 10s of model variants, and though you can adjust the aspect ratio and choose a generation of Midjourney’s algorithm to use, they don’t provide anything like the variation or the options offered by Stable Diffusion. There’s an argument to be made that Midjourne...
Do you see there are some parameters to control the sensitivity of the edge detection algorithm? There’s another Control Type called “Scribble”. This does not require you to upload a picture but allows you to draw one with your mouse. Try this one and see the effect. Using the “...
Theory on how the scheduler algorithm function is out of scope for this notebook, but in short one should remember that they compute the predicted denoised image representation from the previous noise representation and the predicted noise residual. For more information, we recommend looking intoEluc...
For best results, we recommendtraining-time palettization:coremltools.optimize.torch.palettization.DKMPalettizerif fine-tuning your model is feasible. This API implements theDifferentiable k-Means (DKM)learned palettization algorithm. In this exercise, we stick to post-training palettization for the ...
However, WebUI doesn't offer such a sampler, and it must sample with negative prompts.This is the main difference. VQVAE Decoder Difference: The official VQVAE Decoder takes some Encoder features as input. However, in practice, I found these features are astonishingly huge for large images. ...
number of steps is ignored and the algorithm is free to sample more efficiently until the best ...