Update app.py

app.py

@@ -18,7 +18,7 @@ from utils import text_encoder_forward
 from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
 from utils import latents_to_images, downsampling, merge_and_save_images
 from omegaconf import OmegaConf
-from accelerate.utils import set_seed
+# from accelerate.utils import set_seed
 from tqdm import tqdm
 from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import StableDiffusionPipelineOutput
 from PIL import Image
@@ -133,7 +133,7 @@ woman_Embedding_Manager = models.embedding_manager.EmbeddingManagerId_adain(
 text_encoder.text_model.embeddings.forward = original_forward
 
 DEFAULT_STYLE_NAME = "Watercolor"
-MAX_SEED = np.iinfo(np.int32).max
+# MAX_SEED = np.iinfo(np.int32).max
 
 
 def replace_phrases(prompt):
@@ -185,6 +185,7 @@ def generate_image(chose_emb, choice, gender_GAN, prompts_array):
     os.makedirs(save_dir, exist_ok=True)
     
     random_embedding = torch.randn(1, 1, input_dim).to(device)
+    print(random_embedding)
     if choice == "Create a new character":
         _, emb_dict = Embedding_Manager(tokenized_text=None, embedded_text=None, name_batch=None, random_embeddings = random_embedding, timesteps = None,)
         test_emb = emb_dict["adained_total_embedding"].to(device)