Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- text-to-image
+---
+# AuraFlow
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6380ebb8471a4550ff255c62/jMkLXPFVNGdUb7P4nNTqX.png)
+
+
+AuraFlow v0.1 is the largest, fully open-sourced, flow-based text-to-image generation model.
+
+This model achieves state-of-the-art results on GenEval. Read blog post for more technical details.
+
+The model is currently in beta. We are working on improving it and the community's feedback is important.
+Join [fal's Discord](https://discord.gg/fal-ai) to give us feedback and stay in touch with the model development.
+
+## Usage
+
+```bash
+$ pip install diffusers transformers accelerate protobuf sentencepiece
+```
+
+```python
+from diffusers import AuraFlowPipeline
+import torch
+
+pipeline = AuraFlowPipeline(
+	"fal/AuraFlow", 
+	torch_dtype=torch.float16
+).to("cuda")
+
+image = pipeline(
+    prompt="close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",
+    height=1024,
+    width=1024,
+    num_inference_steps=50, 
+    generator=torch.Generator().manual_seed(666),
+    guidance_scale=3.5,
+).images[0]
+```