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app.py

@@ -55,7 +55,7 @@ pipe.init_ipadapter(
 # Step 6: Gradio Function
 # ----------------------------
 @spaces.GPU
-def gui_generation(prompt, ref_img, guidance_scale, ipadapter_scale):
+def gui_generation(prompt,negative_prompt, ref_img, guidance_scale, ipadapter_scale):
 
 
     ref_img = load_image(ref_img.name).convert('RGB')
@@ -65,7 +65,7 @@ def gui_generation(prompt, ref_img, guidance_scale, ipadapter_scale):
         width=1024,
         height=1024,
         prompt=prompt,
-        negative_prompt="lowres, low quality, worst quality",
+        negative_prompt=negative_prompt,
         num_inference_steps=24,
         guidance_scale=guidance_scale,
         generator=torch.Generator("cuda").manual_seed(42),
@@ -80,6 +80,8 @@ def gui_generation(prompt, ref_img, guidance_scale, ipadapter_scale):
 # Step 7: Gradio Interface
 # ----------------------------
 prompt_box = gr.Textbox(label="Prompt", placeholder="Enter your image generation prompt")
+negative_prompt_box = gr.Textbox(label="Negative Prompt", placeholder="Enter your image generation prompt",value="lowres, low quality, worst quality")
+
 ref_img = gr.File(label="Upload Reference Image")
 guidance_slider = gr.Slider(
     label="Guidance Scale",
@@ -101,7 +103,7 @@ ipadapter_slider = gr.Slider(
 
 interface = gr.Interface(
     fn=gui_generation,
-    inputs=[prompt_box, ref_img, guidance_slider, ipadapter_slider],
+    inputs=[prompt_box,negative_prompt_box, ref_img, guidance_slider, ipadapter_slider],
     outputs="image",
     title="Image Generation with Stable Diffusion 3.5 Large and IP-Adapter",
     description="Generates an image based on a text prompt and a reference image using Stable Diffusion 3.5 Large with IP-Adapter."