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https://github.com/prithivsakthiur/ai-art-generator-sdxl

AUTOMATIC1111: Software for tensor operations, saving tensor data in .safetensors format. ComfyUI: UI library, possibly managing tensor data safely with *.safetensors. InvokeAI: ML platform using *.safetensors for secure tensor storage.
https://github.com/prithivsakthiur/ai-art-generator-sdxl

api art gradio gradio-custom-component gradio-interface gradio-python-llm identity llm machine-learning model modeling sdxl

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AUTOMATIC1111: Software for tensor operations, saving tensor data in .safetensors format. ComfyUI: UI library, possibly managing tensor data safely with *.safetensors. InvokeAI: ML platform using *.safetensors for secure tensor storage.

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README

          

---
license: creativeml-openrail-m
pipeline_tag: text-to-image
tags:
- text-to-image
- turbo
- stable-diffusion
- stable-diffusion-xl
widget:
- text: natural scenario
output:
url: image7.jpeg
- text: mars rover
output:
url: image1.jpeg
- text: luminescent boat
output:
url: image3.jpeg
- text: tesla robo cartoon
output:
url: image4.jpeg
- text: rusty robot cartoon
output:
url: image5.jpeg
- text: skyscraper cartoon
output:
url: image6.jpeg

inference:
parameters:
num_inference_steps: 8
---

![row01](Assets/8.png)

## SDXL Turbo

This could refer to a specific software or system named AUTOMATIC1111 that deals with tensor operations or machine learning tasks. The .safetensors extension might be used to save or serialize tensor data in a safe and structured manner.

**ComfyUI**: ComfyUI might be a user interface library or framework, and *.safetensors could be related to some functionality within it, perhaps for managing data or state related to tensors in a safe manner.

**InvokeAI**: If InvokeAI is a platform or tool related to artificial intelligence or machine learning, *.safetensors could be a file format used within it for storing tensor-related information securely.

## Use it with diffusers 🧨
```python
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('Rodan-SDXL-Turbo-Art-Generator-Engine', torch_dtype=torch.float16).to('cuda')
image = pipeline('A mecha robot in a favela', num_inference_steps=2).images[0]
```

ℹ️Recommended to Deploy inside Huggingface Workspaces

🚀Huggingface Model :

# Make sure you have git-lfs installed (https://git-lfs.com)
git lfs install

git clone https://huggingface.co/spaces/prithivMLmods/Art-Generator-Engine

# If you want to clone without large files - just their pointers

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/spaces/prithivMLmods/Art-Generator-Engine

🚀Huggingface Spaces : https://huggingface.co/spaces/prithivMLmods/Art-Generator-Engine

ℹ️For the Deployment of Huggingface Workspaces Use Only the Highlighted (Blue Color) Folder Mentioned & Choosing the correct SDK in Huggingface Spaces as follows;

![alt text](Assets/sx1.png)

ℹ️Generated Images in Huggingface Spaces:

🔮Prompt : " natural scenario "

![alt text](Assets/sx2.png)

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