bobrity/analogmadness-sdxl

AnalogMadness SDXL XL3

AnalogMadness SDXL XL3 is a fine-tuned Stable Diffusion XL model that specializes in creating analog photography-style images with enhanced artistic quality and distinctive visual characteristics.

Model Details

• Base Model: stabilityai/stable-diffusion-xl-base-1.0
• Model Type: Stable Diffusion XL fine-tuned checkpoint
• File Format: SafeTensors
• File Size: ~6.5GB
• Resolution: 1024x1024 (native SDXL resolution)

Intended Use

This model is intended for:

• Creating analog photography-style artwork
• Generating images with vintage aesthetic
• Artistic and creative image generation
• Research and experimentation with diffusion models

Usage

Using with Diffusers

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained(
    "your-username/analogmadness-sdxl",
    torch_dtype=torch.float16,
    use_safetensors=True
)
pipeline = pipeline.to("cuda")

prompt = "analog photography of a sunset over the ocean, vintage film grain"
image = pipeline(prompt).images[0]
image.save("analog_sunset.png")

Using with ComfyUI

1. Download the model.safetensors file
2. Place it in your ComfyUI models/checkpoints/ directory
3. Refresh ComfyUI and select the model from the checkpoint loader

Recommended Settings

• Sampling Steps: 20-30
• Guidance Scale: 7-12
• Negative Prompt: "digital art, cgi, 3d render, cartoon"
• Scheduler: DPM++ 2M Karras or Euler A

Sample Prompts

• "analog photography of a vintage car, film grain, warm tones"
• "portrait of a woman, analog film style, soft lighting"
• "street photography, 35mm film, urban landscape"
• "vintage nature scene, analog camera, golden hour"

License

This model is released under the OpenRAIL++ license. Please ensure compliance with the license terms when using this model.

Disclaimer

This model should be used responsibly and in accordance with ethical AI practices. The creators are not responsible for any misuse of this technology.