add inference

app.py

@@ -6,6 +6,7 @@ import spaces #[uncomment to use ZeroGPU]
 from diffusers import (
     AutoencoderKL,
     StableDiffusionXLPipeline,
+    DPMSolverMultistepScheduler
 )
 from huggingface_hub import login, hf_hub_download
 from PIL import Image
@@ -241,10 +242,16 @@ def infer(
     
     # Generate image with selected steps
     image_quick = generate_image_with_steps(prompt, negative_prompt, seed, width, height, guidance_scale, num_inference_steps)
-    
+    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, final_sigmas_type="sigma_min")
     # Generate image with 50 steps for high quality
-    image_50_steps = generate_image_with_steps(prompt, negative_prompt, seed, width, height, guidance_scale, 20)
-
+    negative_prompts = '(worst quality:2), (low quality:2), (normal quality:2), bad anatomy, bad proportions, poorly drawn face, poorly drawn hands, missing fingers, extra limbs, blurry, pixelated, distorted, lowres, jpeg artifacts, watermark, signature, text, (deformed:1.5), (bad hands:1.3), overexposed, underexposed, censored, mutated, extra fingers, cloned face, bad eyes'
+    negative_prompts = 1 * [negative_prompts]
+    image_50_steps = pipe(prompt=[prompt]
+                            ,negative_prompt=negative_prompts
+                            ,num_inference_steps=20
+                            ,guidance_scale=guidance_scale
+                            ,height=height
+                            ,width=width).images
     return image_quick, image_50_steps, seed