Prompt
The image portrays a female character with vibrant blue hair, striking makeup, and tattoos. She is seen in a moment of distress or passion, with her eyes closed and one hand on her head. The background is a blend of purple hues with abstract symbols and doodles, giving an artistic and chaotic feel. The character is adorned with multiple accessories, including chokers, earrings, and a necklace. Her attire consists of a harness-like vest with various pouches and belts. The overall mood of the image is intense and evocative.

Prompt
Close-up photos of models, hazy light and shadow, laser metal hair accessories, soft and beautiful, light gold pupils, white eyelashes, low saturation, real skin details, clear pores and fine lines, light reflection and refraction, ultra-clear, cinematography, award-winning works

Prompt
A curvy timber house near a sea, designed by Zaha Hadid, represent the image of a cold, modern architecture, at night, white lighting, highly detailed

Prompt
Over the shoulder game perspective, game screen of Diablo 4, Inside the gorgeous palace is the wet ground, The necromancer knelt before the king, and a horde of skeletons he summoned stood at his side, cinematic light.

Prompt
Photorealistic closeup video of two pirate ships battling each other as they sail inside a cup of coffee.

Prompt
A deep forest clearing with a mirrored pond reflecting a galaxy-filled night sky.

Prompt
Happy dreamy owl monster sitting on a tree branch, colorful glittering particles, forest background, detailed feathers.

Prompt
Lego model, future rocket station, intricate details, high resolution, unreal engine, UHD

PixArt-900M-DiT v0.1

This is an experimental 900M DiT model that has been fully fine-tuned on a large-scale, high-quality dataset of images aligned with human preferences. It uses the same VAE and text encoder as PixArt-Sigma, so you only need to replace the transformer.

How to use it?

weight_dtype = torch.bfloat16
device = torch.device("cuda")
MODEL_ID = "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers"
transformer = Transformer2DModel.from_pretrained("Owen777/pixart-900m", torch_dtype=weight_dtype) 
pipe = PixArtSigmaPipeline.from_pretrained(MODEL_ID, transformer=transformer, torch_dtype=weight_dtype) 
pipe.vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=weight_dtype).cuda()
pipe.to(device)
image = pipe("a cute cat with pure white background.",guidance_scale=3.5,num_inference_steps=30,height=1024,width=102)[0]
image.save("result.jpeg")

Credits

Original PixArt Sigma model by PIXART-Σ (https://pixart-alpha.github.io/PixArt-sigma-project/)

This model is created by Tian Ye and Peijie Dong from ROAS/DSA, HKUST-GZ.