Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- anime
+- waifu
+- diffusers
+---
+
+# AstraXL
+
+**AstraXL** is a specialized anime-focused checkpoint designed to bridge the gap between high-fidelity background rendering and stylistic 2D character art.
+
+While many models sacrifice background depth for character detail (or vice versa), AstraXL is tuned to ensure that environments feel "lived in" and deep, while maintaining a crisp, flat 2D aesthetic for subjects. It has been extensively tuned to respond to **Natural Language** prompts, allowing for complex scene generation without relying heavily on traditional "tag salads."
+
+## Key Features
+
+* **Deep Backgrounds:** The model excels at architectural and natural scenery, providing a sense of distance and atmosphere often lost in standard anime mixes.
+* **Natural Language Support:** You don't need to depend solely on Danbooru tags. Sentences like *"A girl walking through a rural village"* work just as well, if not better, than tag lists.
+* **Vivid Color & Line Work:** Tuned for "main line" clarity (reducing fuzziness around contours) and ensuring colors pop without oversaturation.
+* **Hybrid Workflow:** Works with both `Euler a` for softer, painterly results and `DPM++ 2M` for cleaner, sharper digital illustration styles.
+
+## Recommended Settings
+
+To get the results intended during training, please use the following configurations:
+
+* **Steps:** 25 to 40
+* **CFG Scale:** 3.5 to 6.0
+* **Sampler:** `Euler a` (for soft/painterly) or `DPM++ 2M` (for crisp/digital)
+* **Scheduler:** Simple or Karras
+
+## Prompting Guide
+
+AstraXL is designed to be flexible. You can use standard tagging or natural sentences.
+
+**Natural Language Approach (Recommended)**
+> *A beautiful girl standing in a library, warm lighting, books everywhere, detailed background.*
+
+**Standard Tagging Approach**
+> *1girl, library, books, depth of field, warm lighting, masterpiece, best quality*
+
+**Quality Tags (Optional)**
+While the model is tuned to not strictly require them, adding these can push the aesthetic:
+`masterpiece, best quality, amazing quality, very aesthetic, absurdres, highres, newest`
+
+**Negative Prompt**
+`negativeXL_D, NEGATIVE_HANDS, average quality, bad quality, worst quality`
+
+## Limitations
+
+* **Stylistic Constraints:** This model is heavily optimized for 2D anime aesthetics. It may struggle with photorealistic generation or styles that deviate significantly from modern digital anime art.
+* **Text Rendering:** Like many diffusion models in this class, it does not natively render intelligible text within images.
+
+## License
+
+This project is licensed under the **Apache 2.0** License.