Spaces:

multimodalart
/

diffusion-gpt

Running on Zero

multimodalart HF Staff commited on 28 days ago

Commit

7da55d8

verified ·

1 Parent(s): d1a16a0

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -315,8 +315,6 @@ def generate_text(steps):
     with torch.no_grad():
         for i in range(steps):
-            progress(i / steps, desc=f"Denoising Step {i+1}/{steps}")
             t = timesteps[i] * torch.ones(x.shape[0], 1, device=DEVICE)
             curr_sigma_bar, _ = NOISE(t)

     with torch.no_grad():
         for i in range(steps):
             t = timesteps[i] * torch.ones(x.shape[0], 1, device=DEVICE)
             curr_sigma_bar, _ = NOISE(t)