1import torch
2from diffusers import DiffusionPipeline
3
4pipe = DiffusionPipeline.from_pretrained("Koolchh/AnimeBoysXL-v3.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
5pipe.to("cuda")
6
7prompt = "1boy, male focus, shirt, solo, looking at viewer, smile, black hair, brown eyes, short hair, best quality, amazing quality, best aesthetic, absurdres"
8negative_prompt = "lowres, bad, text, error, missing, extra, fewer, cropped, jpeg artifacts, worst quality, bad quality, watermark, bad aesthetic, unfinished, chromatic aberration, scan, scan artifacts"
9
10image = pipe(
11 prompt=prompt,
12 negative_prompt=negative_prompt,
13 width=1024,
14 height=1024,
15 guidance_scale=8.5,
16 num_inference_steps=28
17).images[0]
AnimeBoysXL v3.0 is trained from
Pony Diffusion V6 XL, on ~516k images.
The following tags are attached to the training data to make it easier to steer toward either more aesthetic or more flexible results.
The aesthetic tags of AnimeBoysXL v3.0 reflect my aesthetic preference.
Since AnimeBoysXL v3.0 is a derivative model of
Pony Diffusion V6 XL by PurpleSmartAI, it has a different license from the previous versions. Please read their license before using the model.