Update README.md

README.md

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+---
 title: BitDance-14B-64x
 emoji: 🚀
 colorFrom: red
@@ -10,4 +11,40 @@ license: apache-2.0
 short_description: Open-source autoregressive model with binary visual tokens.
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🚀 BitDance-14B-64x
+
+BitDance is a scalable autoregressive (AR) foundation model with **14 billion parameters**. It introduces a novel approach to image generation by predicting **binary visual tokens** instead of standard codebook indices.
+
+
+
+## 🌟 Key Features
+- **Binary Visual Tokenizer:** Scales token entropy to $2^{256}$ states, providing a highly expressive yet compact discrete representation.
+- **Binary Diffusion Head:** Replaces standard categorical classification with continuous-space diffusion for high-precision sampling in massive discrete spaces.
+- **Next-Patch Diffusion:** A parallel decoding paradigm that predicts up to **64 tokens per step**, achieving a 30x speedup over traditional AR models for 1024x1024 resolution.
+- **Multimodal Foundation:** Trained on large-scale multimodal data, excelling in prompt adherence, spatial reasoning, and high-fidelity photorealistic rendering.
+
+## 🛠️ Performance
+| Model | Tokens/Step | Speedup (vs. standard AR) | Target Resolution |
+| :--- | :--- | :--- | :--- |
+| BitDance-14B-16x | 16 | ~8x | 512px & 1024px |
+| **BitDance-14B-64x** | **64** | **~30x** | **1024px** |
+
+
+
+## 🚀 Quick Start (Local Setup)
+
+If you wish to run the model locally using the `diffusers` library:
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained(
+    "shallowdream204/BitDance-14B-64x", 
+    custom_pipeline="shallowdream204/BitDance-14B-64x",
+    torch_dtype=torch.bfloat16
+).to("cuda")
+
+prompt = "A cinematic portrait of a futuristic explorer in a neon-lit cyberpunk city, ultra-detailed, 8k."
+image = pipe(prompt=prompt, height=1024, width=1024).images[0]
+image.save("output.png")