模型:
dreamlike-art/dreamlike-anime-1.0
Add anime to your prompt to make your gens look more anime. Add photo to your prompt to make your gens look more photorealistic and have better anatomy. This model was trained on 768x768px images, so use 768x768px, 704x832px, 832x704px, etc. Higher resolution or non-square aspect ratios may produce artifacts.
Add this to the start of your prompts for best results:
photo anime, masterpiece, high quality, absurdres
Use negative prompts for best results, for example:
simple background, duplicate, retro style, low quality, lowest quality, 1980s, 1990s, 2000s, 2005 2006 2007 2008 2009 2010 2011 2012 2013, bad anatomy, bad proportions, extra digits, lowres, username, artist name, error, duplicate, watermark, signature, text, extra digit, fewer digits, worst quality, jpeg artifacts, blurry
1girl , girl , etc. give a bit different results, feel free to experiment and see which one you like more!
Use this model as well as Dreamlike Diffusion 1.0 and Dreamlike Photoreal 2.0 for free on dreamlike.art !
Download dreamlike-anime-1.0.ckpt (2.13GB)
Download dreamlike-anime-1.0.safetensors (2.13GB)
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion Pipeline .
from diffusers import StableDiffusionPipeline import torch model_id = "dreamlike-art/dreamlike-anime-1.0" pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe = pipe.to("cuda") prompt = "anime, masterpiece, high quality, 1girl, solo, long hair, looking at viewer, blush, smile, bangs, blue eyes, skirt, medium breasts, iridescent, gradient, colorful, besides a cottage, in the country" negative_prompt = 'simple background, duplicate, retro style, low quality, lowest quality, 1980s, 1990s, 2000s, 2005 2006 2007 2008 2009 2010 2011 2012 2013, bad anatomy, bad proportions, extra digits, lowres, username, artist name, error, duplicate, watermark, signature, text, extra digit, fewer digits, worst quality, jpeg artifacts, blurry' image = pipe(prompt, negative_prompt=negative_prompt).images[0] image.save("./result.jpg")
This model is licesed under a modified CreativeML OpenRAIL-M license.