 prompt,
Stage 2: a 64x64 px => 256x256 px super-resolution model, and a
Stage 3: a 256x256 px => 1024x1024 px super-resolution model
Stage 1 and Stage 2 utilize a frozen text encoder based on the T5 transformer to extract text embeddings,
which are then fed into a UNet architecture enhanced with cross-attention and attention pooling.
Stage 3 is Stability’s x4 Upscaling model.
The result is a highly efficient model that outperforms current stat