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Update docs/description.md

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@@ -12,11 +12,14 @@ This demo showcases a lightweight Stable Diffusion model (SDM) for general-purpo
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  - For different images with the same prompt, please change _Random Seed_ in Advanced Settings (because of using the firstly sampled latent code per seed).
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  <br/>
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-
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- **Demo Environment**: [Oct/01/2023] NVIDIA T4-small (4 vCPU · 15 GB RAM · 16GB VRAM) — 5~10 sec inference (for a 512×512 image with 25 denoising steps)
 
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  <details>
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  <summary>Previous Env Setup:</summary>
 
 
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  [Sept/01/2023] Free CPU-basic (2 vCPU · 16 GB RAM) — 7~10 min slow inference.
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  <br/>
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  [Aug/01/2023] NVIDIA T4-small (4 vCPU · 15 GB RAM · 16GB VRAM) — 5~10 sec inference.
 
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  - For different images with the same prompt, please change _Random Seed_ in Advanced Settings (because of using the firstly sampled latent code per seed).
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  <br/>
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+ **Demo Environment**: [Oct/08/2023] Free CPU-basic (2 vCPU · 16 GB RAM) — 7~10 min slow inference (for a 512×512 image with 25 denoising steps)
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+ <br/>
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+ - 🙏 Better to use the quickstart code or Hosted inference API in [BK-SDM-Small Model Card](https://huggingface.co/nota-ai/bk-sdm-small).
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  <details>
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  <summary>Previous Env Setup:</summary>
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+ [Oct/01/2023] NVIDIA T4-small (4 vCPU · 15 GB RAM · 16GB VRAM) — 5~10 sec inference.
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+ <br/>
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  [Sept/01/2023] Free CPU-basic (2 vCPU · 16 GB RAM) — 7~10 min slow inference.
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  <br/>
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  [Aug/01/2023] NVIDIA T4-small (4 vCPU · 15 GB RAM · 16GB VRAM) — 5~10 sec inference.