--- 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) ```