Create README.md

README.md

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+---
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+widget:
+- text: >-
+    A realistic 3D rendering of a mysterious, ancient artifact. The artifact
+    appears to be made from a mix of gold and stone, featuring intricate
+    carvings and symbols that suggest a lost civilization. It sits on a pedestal
+    in a dimly lit room, casting shadows on the walls that hint at its complex
+    shape. The atmosphere is filled with a sense of wonder and ancient power,
+    inviting the viewer to speculate about its origins and purpose.
+  output:
+    url: images/c17abed6-d041-4330-9791-a8e09f619c0f.png
+- text: a cute robot artist painting on an easel, concept art
+  output:
+    url: images/cd51e756-cdde-49bc-b907-2f45d9079cc7.png
+- text: neon holography crystal cat
+  output:
+    url: images/7323a470-e3b5-4c03-8431-8e5de6f65f39.png
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: null
+license: openrail++
+---
+# SDTX - Image Generation Model
+
+<Gallery />
+
+## Model description
+
+SDTX is a LoRA model based on Stable Diffusion XL, trained by @binarybardakshat. It is designed for efficient image generation with low space usage and is CUDA-integrated, ensuring optimal performance on compatible hardware. The model is suitable for generating high-quality images with a focus on creativity and detail.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](https://huggingface.co/binarybardakshat/SDTX/tree/main) them in the Files & versions tab.
+
+## How to Use
+
+You can use the SDTX model in your projects by loading it with the `diffusers` library.
+
+```python
+from diffusers import StableDiffusionPipeline
+
+# Load the model
+pipeline = StableDiffusionPipeline.from_pretrained("username/SDTX")
+
+# Generate an image
+image = pipeline("A futuristic city skyline at dusk").images[0]
+image.save("futuristic_city.png")