please work

config.json

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+{
+  "attention_layer_position": 8,
+  "channel_width": 128,
+  "class_embed_dim": 128,
+  "eps": 0.0001,
+  "layers": [
+    [
+      false,
+      16,
+      16
+    ],
+    [
+      true,
+      16,
+      16
+    ],
+    [
+      false,
+      16,
+      16
+    ],
+    [
+      true,
+      16,
+      8
+    ],
+    [
+      false,
+      8,
+      8
+    ],
+    [
+      true,
+      8,
+      4
+    ],
+    [
+      false,
+      4,
+      4
+    ],
+    [
+      true,
+      4,
+      2
+    ],
+    [
+      false,
+      2,
+      2
+    ],
+    [
+      true,
+      2,
+      1
+    ]
+  ],
+  "n_stats": 51,
+  "num_classes": 1000,
+  "output_dim": 128,
+  "z_dim": 128
+}

pipeline.py

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+import torch
+import nltk
+import io
+import base64
+import shutil
+from torchvision import transforms
+
+from pytorch_pretrained_biggan import BigGAN, one_hot_from_names, truncated_noise_sample
+
+class PreTrainedPipeline():
+    def __init__(self, path=""):
+        """
+        Initialize model
+        """
+        nltk.download('wordnet')
+        self.model = BigGAN.from_pretrained(path)
+        self.truncation = 0.1
+
+    def __call__(self, inputs: str):
+        """
+        Args:
+            inputs (:obj:`str`):
+                a string containing some text
+        Return:
+            A :obj:`PIL.Image` with the raw image representation as PIL.
+        """
+        class_vector = one_hot_from_names([inputs], batch_size=1)
+        if type(class_vector) == type(None):
+            raise ValueError("Input is not in ImageNet")
+        noise_vector = truncated_noise_sample(truncation=self.truncation, batch_size=1)
+        noise_vector = torch.from_numpy(noise_vector)
+        class_vector = torch.from_numpy(class_vector)
+        with torch.no_grad():
+            output = self.model(noise_vector, class_vector, self.truncation)
+
+        # Scale image
+        img = output[0]
+        img = (img + 1) / 2.0
+        img = transforms.ToPILImage()(img)
+        return img

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b86146a8cfcde4cda135adba4b2806f78b3abe2dac9d0fd090cc3ab318604ad9
+size 210849368

requirements.txt

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+pytorch-pretrained-biggan
+nltk==3.6.5
+torchvision