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demo.py

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+
+
+from diffusers import DiffusionPipeline
+import torch.nn as nn, torch, types
+
+MODEL_DIR = "opendiffusionai/stablediffusionxl_t5"
+
+
+pipe = DiffusionPipeline.from_pretrained(
+    MODEL_DIR, custom_pipeline=MODEL_DIR, use_safetensors=True,
+    torch_dtype=torch.bfloat16,
+)
+
+print("model initialized. Now moving to CUDA")
+pipe.to("cuda")
+
+print("Trying render now...")
+
+images = pipe("a misty Tokyo alley at night",num_inference_steps=30).images
+images[0].save("test.png")
+