remove ##

diffusers3/pipelines/controlnet/.ipynb_checkpoints/pipeline_controlnet_sd_xl_img2img_img-checkpoint.py

@@ -211,8 +211,8 @@ def prepare_mask(
         mask[mask < 0.5] = 0
         mask[mask >= 0.5] = 1
     else:
-        print("^^^^")
-        print("mask_2")
+#         print("^^^^")
+#         print("mask_2")
         # preprocess mask
         if isinstance(mask, (PIL.Image.Image, np.ndarray)):
             mask = [mask]
@@ -1454,7 +1454,7 @@ class StableDiffusionXLControlNetImg2ImgPipeline(
                     coeff_after  = (ZAc.reshape(B,-1) @ u)
                     coeff_ratio  = (coeff_after.abs().mean() / (coeff_before.abs().mean() + eps)).item()
                     energy_ratio = (coeff_after.pow(2).mean() / (coeff_before.pow(2).mean() + eps)).item()
-                    print(f"       !!!![Garment|Projection] coeff ↓ ratio = {coeff_ratio:.4f}, energy ↓ ratio = {energy_ratio:.4f}")
+#                     print(f"       !!!![Garment|Projection] coeff ↓ ratio = {coeff_ratio:.4f}, energy ↓ ratio = {energy_ratio:.4f}")
     
         # ---------------------- add noise (original) ----------------------
         if add_noise:
@@ -1933,9 +1933,9 @@ class StableDiffusionXLControlNetImg2ImgPipeline(
                 hf_in_ratio  = (hf_in1  / (hf_in0  + eps))
                 hf_out_ratio = (hf_out1 / (hf_out0 + eps))
             
-                print(f"[Diag|Align] A=Δz·u energy fraction (inside) = {align_idx:.3f} (↑면 투영)")
-                print(f"[Diag|Perp]  perp/u energy ratio (inside)   = {perp_u_ratio:.3f} (↓면 투영)")
-                print(f"[Diag|HF]    inside HF ratio={hf_in_ratio:.3f}, outside HF ratio={hf_out_ratio:.3f} (블러면 HF≪1)")
+#                 print(f"[Diag|Align] A=Δz·u energy fraction (inside) = {align_idx:.3f} (↑면 투영)")
+#                 print(f"[Diag|Perp]  perp/u energy ratio (inside)   = {perp_u_ratio:.3f} (↓면 투영)")
+#                 print(f"[Diag|HF]    inside HF ratio={hf_in_ratio:.3f}, outside HF ratio={hf_out_ratio:.3f} (블러면 HF≪1)")
 
             
     

diffusers3/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img_img.py

@@ -211,8 +211,8 @@ def prepare_mask(
         mask[mask < 0.5] = 0
         mask[mask >= 0.5] = 1
     else:
-        print("^^^^")
-        print("mask_2")
+#         print("^^^^")
+#         print("mask_2")
         # preprocess mask
         if isinstance(mask, (PIL.Image.Image, np.ndarray)):
             mask = [mask]
@@ -1454,7 +1454,7 @@ class StableDiffusionXLControlNetImg2ImgPipeline(
                     coeff_after  = (ZAc.reshape(B,-1) @ u)
                     coeff_ratio  = (coeff_after.abs().mean() / (coeff_before.abs().mean() + eps)).item()
                     energy_ratio = (coeff_after.pow(2).mean() / (coeff_before.pow(2).mean() + eps)).item()
-                    print(f"       !!!![Garment|Projection] coeff ↓ ratio = {coeff_ratio:.4f}, energy ↓ ratio = {energy_ratio:.4f}")
+#                     print(f"       !!!![Garment|Projection] coeff ↓ ratio = {coeff_ratio:.4f}, energy ↓ ratio = {energy_ratio:.4f}")
     
         # ---------------------- add noise (original) ----------------------
         if add_noise:
@@ -1933,9 +1933,9 @@ class StableDiffusionXLControlNetImg2ImgPipeline(
                 hf_in_ratio  = (hf_in1  / (hf_in0  + eps))
                 hf_out_ratio = (hf_out1 / (hf_out0 + eps))
             
-                print(f"[Diag|Align] A=Δz·u energy fraction (inside) = {align_idx:.3f} (↑면 투영)")
-                print(f"[Diag|Perp]  perp/u energy ratio (inside)   = {perp_u_ratio:.3f} (↓면 투영)")
-                print(f"[Diag|HF]    inside HF ratio={hf_in_ratio:.3f}, outside HF ratio={hf_out_ratio:.3f} (블러면 HF≪1)")
+#                 print(f"[Diag|Align] A=Δz·u energy fraction (inside) = {align_idx:.3f} (↑면 투영)")
+#                 print(f"[Diag|Perp]  perp/u energy ratio (inside)   = {perp_u_ratio:.3f} (↓면 투영)")
+#                 print(f"[Diag|HF]    inside HF ratio={hf_in_ratio:.3f}, outside HF ratio={hf_out_ratio:.3f} (블러면 HF≪1)")