playgound with openai dependency 4

inference.py

@@ -1,4 +1,4 @@
-import numpy as np
+import modules.constants as constants
 import random
 from diffusers import DiffusionPipeline
 import torch
@@ -26,12 +26,10 @@ else:
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
     pipe = pipe.to(device)
 
-MAX_SEED = np.iinfo(np.int32).max
-
 def infer_stable_diffusion(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
 
     if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
+        seed = random.randint(0, constants.MAX_SEED)
         
     generator = torch.Generator().manual_seed(seed)