dashtoon/DashAnimeXL-V1

DashAnimeXL V1

DashAnimeXL V1 is a diffusion-based text-to-image generative model. The model is a finetune of SDXL by the research team at Dashtoon. Please see our blog for more details.

Model Description

• Developed by: Dashtoon
• Model type: Diffusion-based text-to-image generative model
• License: CreativeML Open RAIL++-M License
• Model Description: DashAnimeXL V1 is engineered to generate high-quality anime images from textual prompts. It features enhanced hand anatomy, better concept understanding, and prompt interpretation.
• Summary: This model generates images based on text prompts. It follows the same architecture as Stable Diffusion XL.
• Finetuned from model: SDXL

Using the model with 🧨 Diffusers

To use DashAnimeXL V1, install the required libraries as follows:

pip install diffusers --upgrade
pip install transformers accelerate safetensors

Example script for generating images with DashAnimeXL V1:

import torch
from diffusers import (
    StableDiffusionXLPipeline, 
    EulerAncestralDiscreteScheduler,
    AutoencoderKL
)

# Load VAE component
vae = AutoencoderKL.from_pretrained(
    "madebyollin/sdxl-vae-fp16-fix", 
    torch_dtype=torch.bfloat16
)

# Configure the pipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
    "dashtoon/DashAnimeXL-V1", 
    vae=vae,
    torch_dtype=torch.bfloat16, 
    use_safetensors=True, 
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

if torch.cuda.is_available():
  pipe.to('cuda')

# Define prompts and generate image
prompt = "anime illustration, An ink painting with a superhot, pop art style, featuring vibrant splashes and gradient patterns merging with random signals and noise. A zoomed-in panda wearing glasses, appearing to look directly at the viewer. The piece is bathed in warm, volumetric lighting against a clear dusk sky background. The reflection in the panda's sunglasses reveals nuclear clouds, adding an element of surrealism."
negative_prompt = "nsfw, low quality, worst quality, very displeasing, 3d, watermark, signature, ugly, poorly drawn"

image = pipe(
    prompt, 
    negative_prompt=negative_prompt, 
    width=1024,
    height=1024,
    guidance_scale=7,
    num_inference_steps=20
).images[0]