metadata
language:
- en
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
license: openrail++
base_model:
- cagliostrolab/animagine-xl-4.0
base_model_relation: quantized
Animagine XL 4.0 8bit
Example Code
import torch
from diffusers import StableDiffusionXLPipeline
import os
import secrets
pipe = StableDiffusionXLPipeline.from_pretrained(
"msArray/animagine-xl-4.0-8bit",
torch_dtype=torch.float16,
use_safetensors=True,
device_map="cuda"
)
prompt = "1girl, toki \(blue archive\), blue archive, safe, masterpiece, high score, great score, absurdres"
negative_prompt = "lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry"
image = pipe(
prompt,
negative_prompt=negative_prompt,
width=832,
height=1216,
guidance_scale=5,
num_inference_steps=28
).images[0]
if not os.path.exists("./output"):
os.makedirs("./output")
image.save(f"./output/{secrets.token_hex(10)}.png")
