🍰 Tiny AutoEncoder for Stable Diffusion What is TAESD? TAESD is very tiny autoencoder which uses the same "latent API" as Stable Diffusion's VAE*. TAESD can decode Stable Diffusion's latents into full-size i
TAESD(Tiny AutoEncoder for Stable Diffusion) less memory/cpu, worse images & faces Custom Place .safetensors/.pt VAEs in the vaes folder Choose from your VAEs in cli, automatically detected, or enter full path Prompt Weighting Usescompel+ - ...
mm = swin_transformer_v2.SwinTransformerV2Tiny_window8(num_classes=64)# >>> Load pretrained from: ~/.keras/models/swin_transformer_v2_tiny_window8_256_imagenet.h5# WARNING:tensorflow:Skipping loading weights for layer #601 (named predictions) due to mismatch in shape for weight predictions/k...
Stable Diffusion contains more detail usage. Note: Works better with PyTorch backend, Tensorflow one seems overfitted if training logger like --epochs 200, and evaluation runs ~5 times slower. [???] Dataset can be a directory containing images for basic DDPM training using images only, or a...
{"error":{"code":500,"message":"grpc process not found: /tmp/localai/backend_data/backend-assets/grpc/tinydream. some backends(stablediffusion, tts) require LocalAI compiled with GO_TAGS","type":""}} cc@M0Rf30, maybe you can help here?
🍰 Tiny AutoEncoder for Stable Diffusion What is TAESD? TAESD is very tiny autoencoder which uses the same "latent API" as Stable Diffusion's VAE*. TAESD can decode Stable Diffusion's latents into full-size images at (nearly) zero cost. Here's a comparison on my laptop: TAESD is...
TAESD is very tiny autoencoder which uses the same "latent API" as Stable Diffusion's VAE*. TAESD can decode Stable Diffusion's latents into full-size images at (nearly) zero cost. Here's a comparison on my laptop: TAESD is compatible with SD1/2-based models (using thetaesd_*weights...
Since TAESD is very fast, you can use TAESD to watch Stable Diffusion's image generation progress in real time. Here's a minimalexample notebookthat adds TAESD previewing to the 🧨 Diffusers implementation of SD2.1. Since TAESD includes a tiny latent encoder, you can use TAESD as a ch...