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positive prompt: anime artwork, anime style, (1girl), (black bob hair:1.5), brown eyes, red maples, sky, ((transparent))
negative prompt: (embedding:unaestheticXLv31:0.5), photo, deformed, realism, disfigured, low contrast, bad hand
positive prompt: monochrome, black and white, (japanese manga), mount fuji
negative prompt: (embedding:unaestheticXLv31:0.5), photo, deformed, realism, disfigured, low contrast, bad hand
positive prompt: (1man), focus, white wavy short hair, blue eyes, black shirt, white background, simple background
negative prompt: (embedding:unaestheticXLv31:0.5), photo, deformed, realism, disfigured, low contrast, bad hand
1@misc{podell2023sdxl,
2 title={SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis},
3 author={Dustin Podell and Zion English and Kyle Lacey and Andreas Blattmann and Tim Dockhorn and Jonas Müller and Joe Penna and Robin Rombach},
4 year={2023},
5 eprint={2307.01952},
6 archivePrefix={arXiv},
7 primaryClass={cs.CV}
8}pip install invisible_watermark transformers accelerate safetensors diffusers1from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
2import torch
3
4model_id = "aipicasso/emi"
5
6scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
7pipe = StableDiffusionXLPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
8pipe = pipe.to("cuda")
9
10prompt = "1girl, sunflowers, brown bob hair, brown eyes, sky, transparent"
11images = pipe(prompt, num_inference_steps=20).images
12images[0].save("girl.png")
131@misc{podell2023sdxl,
2 title={SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis},
3 author={Dustin Podell and Zion English and Kyle Lacey and Andreas Blattmann and Tim Dockhorn and Jonas Müller and Joe Penna and Robin Rombach},
4 year={2023},
5 eprint={2307.01952},
6 archivePrefix={arXiv},
7 primaryClass={cs.CV}
8}