Blog 02-10-23

Ashlock E1
Ashlock E1
Ashlock E2 promotion material
Ashlock E2 promotion material
Ashlock E2 speech
Ashlock E2 speech
Ashlock E2
Ashlock E2
Ashlock S2M1 Training ~ click to expand
Ashlock S2M1 process
Ashlock S2M1 process
Ashlock S2M1 material
Ashlock S2M1 material
Ashlock in training room
Ashlock in training room
Ashlock S2M1
Ashlock S2M1
Saria S2M2 Training ~ click to expand
Saria S2M2 process
Saria S2M2 process
Saria S2M2 material
Saria S2M2 material
Saria in training room
Saria in training room
Saria S2M2
Saria S2M2
Projekt Red S2M1 Training ~ click to expand
Projekt Red S2M1 process
Projekt Red S2M1 process
Projekt Red S2M1 material
Projekt Red S2M1 material
Projekt Red in training room
Projekt Red in training room
Projekt Red S2M1
Projekt Red S2M1
Phantom S3M2 Training ~ click to expand
Phantom S3M2 process
Phantom S3M2 process
Phantom S3M2 material
Phantom S3M2 material
Phantom in training room
Phantom in training room
Phantom S3M2
Phantom S3M2
Phantom S3M3 Training ~ click to expand
Phantom S3M3 process
Phantom S3M3 process
Phantom S3M3 material
Phantom S3M3 material
Phantom in training room
Phantom in training room
Phantom S3M3
Phantom S3M3
Phantom Module Cost
Phantom Module Cost
Phantom Module Info (1/3)
Phantom Module Info (1/3)
Phantom Module Info (2/3)
Phantom Module Info (2/3)
Phantom Module Info (3/3)
Phantom Module Info (3/3)

https://gamepress.gg/arknights/skin/unknown-journey

EPOQUE New Arrivals/Unknown Journey. Trendy, made for the spring season, well-fitting and comfortable, comes with a choice of accessories that can be mixed and matched to suit your style.

Purchase Gitano outfit
Purchase Gitano outfit
Unknown Journey
Unknown Journey
Outfit acquired
Outfit acquired

Official implementation of Adding Conditional Control to Text-to-Image Diffusion Models.

ControlNet is a neural network structure to control diffusion models by adding extra conditions.

It copys the weights of neural network blocks into a “locked” copy and a “trainable” copy.

The “trainable” one learns your condition. The “locked” one preserves your model.

Thanks to this, training with small dataset of image pairs will not destroy the production-ready diffusion models.

The “zero convolution” is 1×1 convolution with both weight and bias initialized as zeros.

Before training, all zero convolutions output zeros, and ControlNet will not cause any distortion.

No layer is trained from scratch. You are still fine-tuning. Your original model is safe.

This allows training on small-scale or even personal devices.

This is also friendly to merge/replacement/offsetting of models/weights/blocks/layers.

Ablation Study: Why ControlNets use deep encoder? What if it was lighter? Or even an MLP?

https://github.com/lllyasviel/ControlNet/discussions/188

https://twitter.com/hashtag/ControlNet?src=hashtag_click

 STABLE DIFFUSION ART