HyperX-Sentience/Luna-Revamped

Luna Revamped 🌙

Luna Revamped is a fine-tuned version of Stable Diffusion 1.5, specifically optimized for ultra-realistic image generation of people and environments. Trained on a curated dataset of 100,000 high-quality images, Luna Revamped excels at producing lifelike visuals with remarkable detail and accuracy.

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Model Details

• Base Model: Stable Diffusion 1.5
• Dataset: Curated collection of 100,000 high-quality images
• Primary Use: Realistic image generation for people and environments
• License: Apache 2.0

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Model Performance

• Realism: Delivers stunningly lifelike images.
• Flexibility: Adapts well to a wide range of text prompts.
• Fine-Tuned Enhancements: Improved clarity and detail compared to the original Stable Diffusion 1.5.

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Usage

Quick Start with Diffusers

from diffusers import StableDiffusionPipeline

# Load the model
model_id = "HyperX-Sentience/luna-revamped"
pipeline = StableDiffusionPipeline.from_pretrained(model_id)
pipeline.to("cuda")

# Generate an image
prompt = "A photorealistic portrait of an astronaut in a futuristic suit"
image = pipeline(prompt).images[0]

# Save the image
image.save("output.png")

Limitations

• Ethical Use: Ensure the generated images comply with ethical guidelines. Avoid using the model for harmful, deceptive, or malicious purposes.
• Biases: The model may inherit biases present in the training data. Users should exercise caution and evaluate outputs critically.
• Edge Cases: In some cases, the model may produce unrealistic or undesired artifacts, especially with ambiguous or complex prompts.