Update utils.py

utils.py

@@ -1,9 +1,54 @@
+import json
+
 import numpy as np
 import torch
 from huggan.pytorch.lightweight_gan.lightweight_gan import LightweightGAN
+from huggingface_hub import hf_hub_download
+
+model_id = "ceyda/butterfly_cropped_uniq1K_512"
+CONFIG_NAME = "config.json"
+revision = None
+cache_dir = None
+force_download = False
+proxies = None
+resume_download = False
+local_files_only = False
+token = None
+
+
+# Load the config
+config_file = hf_hub_download(
+    repo_id=str(model_id),
+    filename=CONFIG_NAME,
+    revision=revision,
+    cache_dir=cache_dir,
+    force_download=force_download,
+    proxies=proxies,
+    resume_download=resume_download,
+    token=token,
+    local_files_only=local_files_only,
+)
+with open(config_file, "r", encoding="utf-8") as f:
+    config = json.load(f)
 
+# Call the _from_pretrained with all the needed arguments
+gan = LightweightGAN(latent_dim=256, image_size=512)
 
-def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1K_512", model_version=None):
+gan = gan._from_pretrained(
+    model_id=str(model_id),
+    revision=revision,
+    cache_dir=cache_dir,
+    force_download=force_download,
+    proxies=proxies,
+    resume_download=resume_download,
+    local_files_only=local_files_only,
+    token=token,
+    use_auth_token=False,
+    config=config,  # usually in **model_kwargs
+)
+
+
+def carga_modelo(model_name=model_id, model_version=None):
     """
     Loads a pre-trained LightweightGAN model from Hugging Face Model Hub.
 
@@ -14,7 +59,6 @@ def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1K_512", model_version=
     Returns:
         LightweightGAN: The loaded pre-trained model.
     """
-    gan = LightweightGAN.from_pretrained(model_name, version=model_version)
     gan.eval()
     return gan
 
@@ -34,3 +78,4 @@ def genera(gan, batch_size=1):
         ims = gan.G(torch.randn(batch_size, gan.latent_dim)).clamp_(0.0, 1.0) * 255
         ims = ims.permute(0, 2, 3, 1).detach().cpu().numpy().astype(np.uint8)
     return ims
+