Categories: AI/ML Research

Generate Realistic and Consistent Faces in Stable Diffusion

The deep learning model of Stable Diffusion is huge. The weight file is multiple GB large. Retraining the model means to update a lot of weights and that is a lot of work. Sometimes we must modify the Stable Diffusion model, for example, to define a new interpretation of prompts or make the model to […]

The post Generate Realistic and Consistent Faces in Stable Diffusion appeared first on MachineLearningMastery.com.

AI Generated Robotic Content

Recent Posts

Target Darts Omni Auto Scoring System Hits the Mark

Step up to the oche and hit the bull’s-eye with this automatic darts scoring system…

2 hours ago

Deni Avdija in Space Jam with LTX-2 I2V + iCloRA. Flow included

made a short video with LTX-2 using an iCloRA Flow to recreate a Space Jam…

1 day ago

How PARTs Assemble into Wholes: Learning the Relative Composition of Images

The composition of objects and their parts, along with object-object positional relationships, provides a rich…

1 day ago

Structured outputs on Amazon Bedrock: Schema-compliant AI responses

Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can…

1 day ago

How we cut Vertex AI latency by 35% with GKE Inference Gateway

As generative AI moves from experimentation to production, platform engineers face a universal challenge for…

1 day ago