PLEASE

app.py

@@ -313,7 +313,7 @@ class customUnClipPipeline(UnCLIPImageVariationPipeline):
 
 
 ### ADDITIONAL PIPELINE CODE FOR KARLO
-pipe = customUnClipPipeline.from_pretrained("kakaobrain/karlo-v1-alpha-image-variations", torch_dtype=torch.float16, trust_remote_code=True, accelerator='ort', device='cpu')
+pipe = customUnClipPipeline.from_pretrained("kakaobrain/karlo-v1-alpha-image-variations", torch_dtype=torch.float32, trust_remote_code=True, accelerator='ort', device='cpu')
 # pipe.enable_model_cpu_offload()
 
 
@@ -413,8 +413,8 @@ will_cand_tensors = torch.cat([chaosclicker_willtensor,
 ### FUNCTION FOR EXECUTION
 
 def generate_freak():
-    will_randomised_input = random_candtensor(will_cand_tensors).unsqueeze(0).half()
-    output = pipe(image_embeddings=will_randomised_input, num_images_per_prompt=1, decoder_num_inference_steps = 20, super_res_num_inference_steps = 5)
+    will_randomised_input = random_candtensor(will_cand_tensors).unsqueeze(0)
+    output = pipe(image_embeddings=will_randomised_input, num_images_per_prompt=1, decoder_num_inference_steps = 15, super_res_num_inference_steps = 4)
     return output.images[0]
 
 ### GRADIO BACKEND