Dashanimexl V1

🚀 DashAnimeXL V1

DashAnimeXL V1 是一款基於擴散模型的文本到圖像生成模型。該模型由 Dashtoon 研究團隊在 SDXL 基礎上微調而來，能夠根據文本提示生成高質量的動漫圖像。

🚀 快速開始

DashAnimeXL V1 是一款基於擴散模型的文本到圖像生成模型。若要使用該模型，需先安裝所需庫：

pip install diffusers --upgrade
pip install transformers accelerate safetensors

以下是使用 DashAnimeXL V1 生成圖像的示例代碼：

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]

✨ 主要特性

• 高質量動漫圖像生成：DashAnimeXL V1 能夠根據文本提示生成高質量的動漫圖像。
• 增強的手部解剖結構：該模型在生成圖像時，對手部解剖結構的表現更加準確。
• 更好的概念理解和提示解釋：能夠更好地理解文本提示中的概念，並生成符合要求的圖像。

📦 安裝指南

若要使用 DashAnimeXL V1，需安裝以下庫：

pip install diffusers --upgrade
pip install transformers accelerate safetensors

💻 使用示例

基礎用法

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]

📚 詳細文檔

模型描述

更多詳細信息請參考我們的 博客。

📄 許可證

本模型使用 CreativeML Open RAIL++-M License 許可證。