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@InProceedings{Rombach_2022_CVPR,
author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn},
title = {High-Resolution Image Synthesis With Latent Diffusion Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {10684-10695}
}pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy1from diffusers import StableDiffusionPipeline, EulerAncestralDiscreteScheduler
2import torch
3
4model_id = "aipicasso/cool-japan-diffusion-2-1-2"
5
6scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
7pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float32)
8pipe = pipe.to("cuda")
9
10prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"
11negative_prompt="deformed, blurry, bad anatomy, bad pupil, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, bad hands, fused fingers, messy drawing, broken legs censor, low quality, mutated hands and fingers, long body, mutation, poorly drawn, bad eyes, ui, error, missing fingers, fused fingers, one hand with more than 5 fingers, one hand with less than 5 fingers, one hand with more than 5 digit, one hand with less than 5 digit, extra digit, fewer digits, fused digit, missing digit, bad digit, liquid digit, long body, uncoordinated body, unnatural body, lowres, jpeg artifacts, 3d, cg, text, japanese kanji"
12images = pipe(prompt,negative_prompt=negative_prompt, num_inference_steps=20).images
13images[0].save("girl.png")
14pipe.enable_attention_slicing() を使ってください。@InProceedings{Rombach_2022_CVPR,
author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn},
title = {High-Resolution Image Synthesis With Latent Diffusion Models},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {10684-10695}
}