Update app.py

app.py

@@ -182,8 +182,8 @@ def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_ste
         # Extract the images
         with torch.cuda.amp.autocast():
             with torch.no_grad():
-                prompt = "model is wearing " + garment_des + "Keep hands same, dont change their position"
-                negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality, hands position"
+                prompt = "model is wearing " + garment_des
+                negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality, contortionist, amputee, polydactyly, deformed, distorted, misshapen, malformed, abnormal, mutant, defaced, shapeless"
                 with torch.inference_mode():
                     (
                         prompt_embeds,
@@ -197,8 +197,8 @@ def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_ste
                         negative_prompt=negative_prompt,
                     )
                                     
-                    prompt = "a photo of " + garment_des + "Keep hands same, dont change their position"
-                    negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality, hands position"
+                    prompt = "a photo of " + garment_des
+                    negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality, contortionist, amputee, polydactyly, deformed, distorted, misshapen, malformed, abnormal, mutant, defaced, shapeless"
                     if not isinstance(prompt, List):
                         prompt = [prompt] * 1
                     if not isinstance(negative_prompt, List):