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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Axolotl is an innovative open-source tool crafted to enhance the fine-tuning process of a variety of AI models, accommodating numerous configurations and architectures. This platform empowers users to train models using diverse methods such as full fine-tuning, LoRA, QLoRA, ReLoRA, and GPTQ. Additionally, users have the flexibility to customize their configurations through straightforward YAML files or by employing command-line interface overrides, while also being able to load datasets in various formats, whether custom or pre-tokenized. Axolotl seamlessly integrates with cutting-edge technologies, including xFormers, Flash Attention, Liger kernel, RoPE scaling, and multipacking, and it is capable of operating on single or multiple GPUs using Fully Sharded Data Parallel (FSDP) or DeepSpeed. Whether run locally or in the cloud via Docker, it offers robust support for logging results and saving checkpoints to multiple platforms, ensuring users can easily track their progress. Ultimately, Axolotl aims to make the fine-tuning of AI models not only efficient but also enjoyable, all while maintaining a high level of functionality and scalability. With its user-friendly design, it invites both novices and experienced practitioners to explore the depths of AI model training.

Description

To quickly begin using our illustration generator, leveraging pre-existing models is the most efficient approach. However, if you wish to showcase a specific style or object that isn't included in these ready-made models, you have the option to customize your own by uploading between 5 to 15 illustrations. There are no restrictions on the fine-tuning process, making it applicable for illustrations, icons, or any other assets you might require. For more detailed information on fine-tuning, be sure to check our resources. The generated illustrations can be exported in both PNG and SVG formats. Fine-tuning enables you to adapt the stable-diffusion AI model to focus on a specific object or style, resulting in a new model that produces images tailored to those characteristics. It's essential to note that the quality of the fine-tuning will depend on the data you submit. Ideally, providing around 5 to 15 images is recommended, and these images should feature unique subjects without any distracting backgrounds or additional objects. Furthermore, to ensure compatibility for SVG export, the images should exclude gradients and shadows, although PNG formats can still accommodate those elements without issue. This process opens up endless possibilities for creating personalized and high-quality illustrations.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Cerebras Yes 
Comet Yes 
DeepSpeed Yes 
Docker Yes 
Falcon Yes 
GPT-J Yes 
Gemma Yes 
Latitude Yes 
Llama Yes 
MLflow Yes 
MPT-7B Yes 
Mistral AI Yes 
Modal Yes 
OpenPipe Yes 
Phi-2 Yes 
Qwen Yes 
Runpod Yes 
TensorWave Yes 
Weights & Biases Yes 
XGen Security Yes 

Integrations

Cerebras No 
Comet No 
DeepSpeed No 
Docker No 
Falcon No 
GPT-J No 
Gemma No 
Latitude No 
Llama No 
MLflow No 
MPT-7B No 
Mistral AI No 
Modal No 
OpenPipe No 
Phi-2 No 
Qwen No 
Runpod No 
TensorWave No 
Weights & Biases No 
XGen Security No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0.06 per credit
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Axolotl

Country

United States

Website

axolotl.ai/

Vendor Details

Company Name

Ilus AI

Website

ilus.ai/

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