add inference

app.py

@@ -181,7 +181,12 @@ def generate_image_with_steps(prompt, negative_prompt, seed, width, height, guid
             if num_inference_steps > 8:
                 sampler = UniPCSampler(pipe,model_closure=model_closure, steps=num_inference_steps, guidance_scale=guidance_scale,skip_type='time_uniform')
             else:
-                sampler = UniPCSampler(pipe,model_closure=model_closure, steps=num_inference_steps, guidance_scale=guidance_scale)
+                sampler = UniPCSampler(pipe,model_closure=model_closure
+                           , steps=num_inference_steps
+                           , guidance_scale=guidance_scale
+                           , denoise_to_zero=True
+                           , need_fp16_discrete_method=True
+                           , force_not_use_afs=True)
 
             c = prompts
             uc = ['(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'] * len(c) if guidance_scale != 1.0 else None