Update README.md

README.md

@@ -7,20 +7,17 @@ tags:
 - 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.
+    India as a tech champ, showcasing the country as a global leader in technology with a futuristic skyline filled with tech hubs, innovation centers, and advanced infrastructure.
   output:
-    url: images/c17abed6-d041-4330-9791-a8e09f619c0f.png
-- text: a cute robot artist painting on an easel, concept art
+    url: images/india-tech-champ.png
+- text: >-
+    An astronaut floating in the deep ocean, surrounded by marine life, with the ocean floor visible in the background. The scene is surreal, blending space exploration with underwater adventure.
   output:
-    url: images/cd51e756-cdde-49bc-b907-2f45d9079cc7.png
-- text: neon holography crystal cat
+    url: images/astronaut-ocean.png
+- text: >-
+    A group of dogs and cats laughing together in a park, with joyful expressions and playful energy. The image captures a moment of pure happiness among the animals.
   output:
-    url: images/7323a470-e3b5-4c03-8431-8e5de6f65f39.png
+    url: images/dogs-cats-laughing.png
 base_model: stabilityai/stable-diffusion-xl-base-1.0
 instance_prompt: null
 license: openrail++
@@ -37,7 +34,7 @@ SDTX is a LoRA model based on Stable Diffusion XL, trained by @binarybardakshat.
 
 Weights for this model are available in Safetensors format.
 
-[Download](https://huggingface.co/binarybardakshat/SDTX/tree/main) them in the Files & versions tab.
+[Download](https://huggingface.co/username/SDTX/tree/main) them in the Files & versions tab.
 
 ## How to Use
 
@@ -50,5 +47,5 @@ from diffusers import StableDiffusionPipeline
 pipeline = StableDiffusionPipeline.from_pretrained("username/SDTX")
 
 # Generate an image
-image = pipeline("A futuristic city skyline at dusk").images[0]
-image.save("futuristic_city.png")
+image = pipeline("India as a tech champ").images[0]
+image.save("india_tech_champ.png")