make num_inference_steps configurable

IP_Composer/perform_swap.py

@@ -25,12 +25,12 @@ def get_embedding_composition(embed, projections_data):
     return combined_embeds
 
 
-def get_modified_images_embeds_composition(embed, projections_data, ip_model, prompt=None, scale=1.0, num_samples=3, seed=420):
+def get_modified_images_embeds_composition(embed, projections_data, ip_model, prompt=None, scale=1.0, num_samples=3, seed=420, num_inference_steps=50):
     
     final_embeds = get_embedding_composition(embed, projections_data)
     clip_embeds = torch.from_numpy(final_embeds)
 
-    images = ip_model.generate(clip_image_embeds=clip_embeds, prompt=prompt, num_samples=num_samples, num_inference_steps=50, seed=seed, guidance_scale=7.5, scale=scale)
+    images = ip_model.generate(clip_image_embeds=clip_embeds, prompt=prompt, num_samples=num_samples, num_inference_steps=num_inference_steps, seed=seed, guidance_scale=7.5, scale=scale)
     return images