Update flux/sampling.py

flux/sampling.py

@@ -30,8 +30,8 @@ def prepare(t5: HFEmbedder, clip: HFEmbedder, img: Tensor, prompt: str | list[st
         txt = repeat(txt, "1 ... -> bs ...", bs=bs)
     txt_ids = torch.zeros(bs, txt.shape[1], 3)
 
-    print("!!!!!!!!!!!!opts.source_prompt!!!!!!!!!!!!",len(opts.source_prompt))
-    print("!!!!!!!!!!!!opts.source_prompt!!!!!!!!!!!!",(opts.source_prompt))
+    print("!!!!!!!!!!!!opts.source_prompt!!!!!!!!!!!!",len(prompt))
+    print("!!!!!!!!!!!!opts.source_prompt!!!!!!!!!!!!",prompt)
     print("!!!!!!!!!!clip!!!!!!!!!",device = next(clip.parameters()).device)
     vec = clip(prompt)
     if vec.shape[0] == 1 and bs > 1: