sundai-club/amosimages

A fine-tuned FLUX.1 model

Public
66 runs

Run time and cost

This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

My Custom Flux Model

🔑 Trigger Word

  • Trigger Word: snapflux

📂 Dataset Information

  • Source: Personal images
  • Number of Images: 15
  • Resolution: 1024px minimum
  • Aspect Ratio: Mostly 1:1, avoiding extreme ratios

⚙️ Training Details

  • Training Steps: 1000
  • Hardware Used: GPU-T4
  • Model Version: Flux-Dev

🚀 How to Use

To generate an image using the fine-tuned model, run the following code:

```python import replicate

output = replicate.run( “YOUR_USERNAME/YOUR_MODEL_NAME”, input={ “prompt”: “snapflux in a futuristic city”, “num_inference_steps”: 30, “guidance_scale”: 7.5, “model”: “dev” } )

print(output[0])