---
license: other
license_name: newbie-nc-1.0
license_link: LICENSE.md
language:
- en
pipeline_tag: text-to-image
library_name: diffusers
tags:
- newbie
- newbie_image
- next-dit
- lumina2
- text-to-image
- transformer
- image-generation
- Anime
base_model:
- NewBie-AI/NewBie-image-Exp0.1
---
Diffusers version of [NewBie-image-Exp0.1](https://huggingface.co/NewBie-AI/NewBie-image-Exp0.1)
Usage:
```
pip install git+https://github.com/Disty0/diffusers
```
```py
import torch
from diffusers import NewbiePipeline
from transformers import AutoModel
device = "cuda"
model_path = "Disty0/NewBie-image-Exp0.1-Diffusers"
text_encoder_2 = AutoModel.from_pretrained(model_path, subfolder="text_encoder_2", trust_remote_code=True, torch_dtype=torch.bfloat16)
pipe = NewbiePipeline.from_pretrained(model_path, text_encoder_2=text_encoder_2, torch_dtype=torch.bfloat16)
del text_encoder_2
# Enable memory optimizations.
pipe.enable_model_cpu_offload(device=device)
prompt = """
$character_1$
1girl
chibi, red_eyes, blue_hair, long_hair, hair_between_eyes, head_tilt, tareme, closed_mouth
school_uniform, serafuku, white_sailor_collar, white_shirt, short_sleeves, red_neckerchief, bow, blue_skirt, miniskirt, pleated_skirt, blue_hat, mini_hat, thighhighs, grey_thighhighs, black_shoes, mary_janes
happy, smile
standing, holding, holding_briefcase
center_left
$character_2$
1girl
chibi, red_eyes, pink_hair, long_hair, very_long_hair, multi-tied_hair, open_mouth
school_uniform, serafuku, white_sailor_collar, white_shirt, short_sleeves, red_neckerchief, bow, red_skirt, miniskirt, pleated_skirt, hair_bow, multiple_hair_bows, white_bow, ribbon_trim, ribbon-trimmed_bow, white_thighhighs, black_shoes, mary_janes, bow_legwear, bare_arms
happy, smile
standing, holding, holding_briefcase, waving
center_right
2girls, multiple_girls
white_background, simple_background
cheerful
high_resolution, detailed
briefcase
alternate_costume
"""
negative_prompt = "blurry, worst quality, low quality, deformed hands, bad anatomy, extra limbs, poorly drawn face, mutated, extra eyes, bad proportions"
pipe.text_encoder_2 = pipe.text_encoder_2.to(device)
image = pipe(
prompt,
negative_prompt=negative_prompt,
height=1024,
width=1024,
guidance_scale=2.5,
num_inference_steps=30,
generator=torch.manual_seed(42),
).images[0]
display(image)
```