shuttleai

Join our Discord / Telegram to get the latest updates, news, and more. These model variants provide different precision levels and formats optimized for diverse hardware capabilities and use cases - bfloat16 - fp8 - GGUF Shuttle Jaguar is a text-to-image AI model designed to generate highly aesthetic, cinematic, and realistic images from textual prompts in just four steps, all while being licensed under Apache 2. Using the model via API You can use Shuttle Jaguar via API through ShuttleAI - ShuttleAI - ShuttleAI Docs Using the model with 🧨 Diffusers Install or upgrade diffusers Then you can use `DiffusionPipeline` to run the model To learn more check out the diffusers documentation To run local inference with Shuttle Jaguar using ComfyUI, you can use this safetensors file.

Join our Discord to get the latest updates, news, and more. Model Variants These model variants provide different precision levels and formats optimized for diverse hardware capabilities and use cases - bfloat16 - GGUF - fp8 Shuttle 3 Diffusion is a text-to-image AI model designed to create detailed and diverse images from textual prompts in just 4 steps. It offers enhanced performance in image quality, typography, understanding complex prompts, and resource efficiency. You can try out the model through a website at https://chat.shuttleai.com/images Using the model via API You can use Shuttle 3 Diffusion via API through ShuttleAI - ShuttleAI - ShuttleAI Docs Using the model with 🧨 Diffusers Install or upgrade diffusers Then you can use `DiffusionPipeline` to run the model To learn more check out the diffusers documentation To run local inference with Shuttle 3 Diffusion using ComfyUI, you can use this safetensors file. Comparison to other models Shuttle 3 Diffusion can produce images better images than Flux Dev in just four steps, while being licensed under Apache 2. Training Details Shuttle 3 Diffusion uses Flux.1 Schnell as its base. It can produce images similar to Flux Dev or Pro in just 4 steps, and it is licensed under Apache 2. The model was partially de-distilled during training. When used beyond 10 steps, it enters "refiner mode," enhancing image details without altering the composition. We overcame the limitations of the Schnell-series models by employing a special training method, resulting in improved details and colors.

We are excited to introduce Shuttle-3, our next-generation state-of-the-art language model designed to excel in complex chat, multilingual communication, reasoning, and agent tasks. - Shuttle-3 is a fine-tuned version of Qwen-2.5-72b-Instruct, emulating the writing style of Claude 3 models and thoroughly trained on role-playing data. Model Name: Shuttle-3 Developed by: ShuttleAI Inc. Base Model: Qwen-2.5-72b-Instruct Parameters: 72B Language(s): Multilingual Repository: https://huggingface.co/shuttleai Fine-Tuned Model: https://huggingface.co/shuttleai/shuttle-3 - Pretrained on a large proportion of multilingual and code data - Finetuned to emulate the prose quality of Claude 3 models and extensively on role play data - Training Setup: Trained on 130 million tokens for 12 hours using 4 A100 PCIe GPUs.