Eimis Anime Diffusion_1.0v LLM Model

Introduction

EimisAnimeDiffusion_1.0v is a diffusion model designed for generating high-quality and detailed anime images. It supports both text-to-image and image-to-image transformation, leveraging the StableDiffusionPipeline for enhanced output.

Architecture

The model utilizes the StableDiffusionPipeline and is compatible with the diffusers library, enabling efficient text-to-image and image-to-image generation. It is specifically tuned for anime and landscape artwork, providing a range of styles and settings.

Training

The model was trained using high-quality anime images, ensuring detailed and vibrant outputs. It employs various samplers and CFG scales to manage the generation process, refining the quality and aesthetics of the images.

Guide: Running Locally

Set Up Environment: Ensure you have Python and the required libraries installed. Use a virtual environment for better management.
Install Libraries: Install the diffusers library and other dependencies.
```
pip install diffusers
```

Load the Model: Use the Hugging Face library to load EimisAnimeDiffusion_1.0v.

from diffusers import StableDiffusionPipeline
model = StableDiffusionPipeline.from_pretrained("eimiss/EimisAnimeDiffusion_1.0v")

Run Inference: Input a text prompt or image to generate new images.
Cloud GPUs: Consider using cloud services like AWS or Google Cloud for GPU support to handle intensive computations effectively.

License

The model is distributed under the CreativeML OpenRAIL-M license, which permits open access and usage. Key points include:

Prohibition against generating illegal or harmful content.
No claims on generated outputs, with users accountable for their use.
Redistribution and commercial use are allowed with adherence to license restrictions and sharing the license with users.
For full details, refer to the CreativeML OpenRAIL-M license.

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