Instructions to use Cyborg-AI/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cyborg-AI/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cyborg-AI/model", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 1,131 Bytes
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license: apache-2.0
tags:
- code
library_name: diffusers
datasets:
- Open-Orca/OpenOrca
- tiiuae/falcon-refinedweb
- garage-bAInd/Open-Platypus
---
<img src="https://cyborgai.fly.dev/assets/images/appiconpreview.png" alt="CyborgAI Logo" width="256" height="256">
# CyborgAI Models
This repository contains various models tha you can download in the CyborgAI app for different purposes.
Each model is organized in its respective folder.
## Models List
- [Model Chat](./models/model_chat)
- [Model Image](./models/model_image)
- [Model Text-to-Speech (TTS)](./models/model_tts)
- [Model Speech-to-Text (STT)](./models/model_stt)
- [Model Video](./models/model_video)
- [Model 3D](./models/model_3d)
## CyborgAI
CyborgAI is a platform that focuses on developing advanced AI models and applications. Visit [CyborgAI](https://cyborgai.fly.dev) for more information.
Special thanks to Hugging Face for providing a space to host and share these models with the community. We appreciate the efforts of all creators involved in developing these models.
Support our work by [buying us a coffee](https://ko-fi.com/cyborgai).
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