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README.md

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+---
+license: mit
+tags:
+- pytorch
+- diffusers
+- unconditional-image-generation
+- diffusion-models-class
+---
+
+# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
+
+This model is a diffusion model for unconditional image generation of cute 🦋.
+
+## Usage
+
+```python
+from diffusers import DDPMPipeline
+import torch
+
+pipeline = DDPMPipeline.from_pretrained('Chen011/sd-class-butterflies-32').to("cuda" if torch.cuda.is_available() else "cpu")
+
+# Generate random noise
+random_noise = torch.randn((1, 3, 64, 64))  # Adjust the shape as per your model's requirements
+
+# Pass through the pipeline
+image = pipeline(num_inference_steps=50, generator=torch.manual_seed(42), latents=random_noise).images[0]
+image.show()