Model reference · open weights
dreamlike-anime-1.0 is an open-weight image model from dreamlike-art. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | dreamlike-art |
|---|---|
| Type | Image models |
| Task | Text→image |
| Parameters (lead) | 860M |
| Runs with | diffusers |
| Released | 2023-01-08 |
| Popularity | 3k downloads / month |
| Licence | Commercial licence needed |
About
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.
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys dreamlike-anime-1-0 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (dreamlike-anime-1-0 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"dreamlike-anime-1-0","prompt":"a red bicycle","size":"1024x1024"}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.