metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
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: 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: 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: dogs-cats-laughing.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
license: openrail++
SDTX - Image Generation Model

- Prompt
- 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.

- Prompt
- 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.

- Prompt
- 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.
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 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.
from diffusers import StableDiffusionPipeline
# Load the model
pipeline = StableDiffusionPipeline.from_pretrained("username/SDTX")
# Generate an image
image = pipeline("India as a tech champ").images[0]
image.save("india_tech_champ.png")