Request: official float32 inference path for seedvr2_ema_7b.pth.

by akos2 - opened 6 days ago

The public 7B apply script (projects/inference_seedvr2_7b.py) loads seedvr2_ema_7b.pth then runs torch.autocast("cuda", torch.bfloat16). configs_7b/main.yaml sets VAE dtype to bfloat16.

Will you publish an official lossless float32 inference config and command for the original seedvr2_ema_7b.pth (no dtype cast on weights or activations), including VAE ema_vae.pth in float32?

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment