SDXL emoji
The fofr/sdxl-emoji tool is an AI model that has been fine-tuned using Apple Emojis as a basis. It is accessible through an API on the Repl...
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What is SDXL emoji?
SDXL Emoji is an SDXL (Stable Diffusion XL) fine-tune model created by fofr that specializes in generating emoji-style images based on Apple emojis. The model uses a unique trigger word
SDXL emoji pricing
Pricing model: Paid
Pay-as-you-go pricing on Replicate platform. The model costs approximately $0.0080 to run, which equals about 125 runs per $1. Final cost varies depending on inputs, complexity, and parameters used. No free tier available - users pay per prediction. The model is open source and can be run for free on your own hardware with Docker if you have the necessary GPU resources.
SDXL emoji pros
- Produces authentic Apple emoji-style graphics with glossy finish
- Uses simple TOK trigger word to activate emoji style
- Fast generation time of approximately 9 seconds
- Open source - can run locally with Docker or Cog
- Runs on powerful Nvidia L40S GPU hardware
- Supports image-to-image generation and inpainting
- Multiple denoising solvers available for customization
- Customizable output dimensions (width, height)
- Can generate multiple images per request
- Adjustable guidance scale for better control
- Random seed customization for reproducible results
- Watermark option for authenticity verification
- Negative prompt support for further customization
- Affordable at approximately $0.0080 per run (125 runs per $1)
- Easy API integration via Replicate platform
SDXL emoji cons
- Requires exact TOK trigger word - style won't activate without it
- Cost varies depending on input complexity and parameters
- Sensitive to prompt wording and structure
- No dedicated free tier - pay-as-you-go only on Replicate
- Limited to Apple emoji aesthetic - can't produce other platform styles
- Requires technical knowledge for local Docker/Cog setup
- May produce unexpected results with complex prompts
- LoRA weight scaling sensitivity affects output quality
Frequently asked questions about SDXL emoji
How much does it cost to run SDXL Emoji?
The model costs approximately $0.0080 per run on Replicate, which equals about 125 runs per $1. The actual cost varies depending on your inputs, prompt complexity, and the parameters you use.
How long does it take to generate an emoji?
Predictions typically complete within 9 seconds when running on Nvidia L40S GPU hardware. Some sources report approximately 15.18 seconds depending on the specific configuration and input complexity.
Can I run SDXL Emoji locally?
Yes, the model is open source and you can run it on your own computer with Docker or Cog. You'll need an Nvidia GPU and must install the replicate library or use the diffusers library with proper LoRA weight loading.
What hardware does SDXL Emoji use?
The model runs on Nvidia L40S GPU hardware on Replicate. Some sources also mention Nvidia A40 (Large) GPU for predictions.
Can I use SDXL Emoji for commercial purposes?
Yes, as an open source model you can use it commercially. When running on Replicate, you pay per use. When running locally with your own hardware, there are no per-use fees, but you need the appropriate GPU infrastructure.
What input options does SDXL Emoji support?
The model supports text prompts, image uploads for img2img, masks for inpainting, customizable width/height, number of outputs, various solvers (Multistep, Heun, Discrete Karras, DPM, K_EULER_ANCESTRAL, K_EULER), guidance scale, prompt strength, random seed, refine style selection, and watermark option.
Does SDXL Emoji work with other emoji styles besides Apple?
No, SDXL Emoji is specifically fine-tuned on Apple emojis and produces Apple-style emoji graphics with their characteristic clean, glossy appearance. For other platform styles like Google or Samsung emojis, you would need different models.
How do I integrate SDXL Emoji into my application?
You can integrate via the Replicate API using Python, Node.js, or curl. Install the replicate library with pip, set your REPLICATE_API_TOKEN, and call replicate.run() with the model ID and your prompt. The Hugging Face page provides detailed code examples for Python, diffusers, and local inference.
What is Pivotal Tuning and how does it relate to this model?
Pivotal Tuning is the training method used for Replicate SDXL LoRAs, combining Dreambooth LoRA training (for the concept) with Textual Inversion (for training a new token). This is why the model uses the TOK trigger word - it's the learned token from Textual Inversion that activates the emoji style.