luna-diffusion

<img src="https://huggingface.co/proximasanfinetuning/luna-diffusion/resolve/main/cover%232.jpg">

→ about

• this was finetuned on a few hundred & mostly hand-captioned highres images on SD 1.5 for ethereal, painterly vibes
• no trigger words/ tokens, but you can add "painting" to the prompt to increase the painterly effect
• use "illustration" in prompts to get more vector art looking images
• works best at 768x768 px, 512x768 px or 768x512 px since it was finetuned on 768x768, so 512x512 will look overbaked
• DPM++ 2M looks usually nice and crisp, use Euler_a for a more softer look
• i recommend adding “nude, naked” to your negative prompt if you don’t like boobas because this model certainly does (￢‿￢ )
• check my blog entry for more examples, comparisons and tips on settings

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<img src="https://colab.research.google.com/assets/colab-badge.svg">

🧨 Diffusers

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 = "proximasanfinetuning/luna-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "painting of a beautiful woman with red hair, 8k, high quality"
image = pipe(prompt, height=768, width=768).images[0]

image.save("./result.jpg")

you can also get it as CKPT or Safetensors

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→ some great images users on stablecog.com made with it:

<img src="https://huggingface.co/proximasanfinetuning/luna-diffusion/resolve/main/stablecog-samples.png"> Links: 1 2 3 4 5 6 7 8 9

or check the hashtag on twitter

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→ finetuned to work well with specifying various skintones

<img src="https://huggingface.co/proximasanfinetuning/luna-diffusion/resolve/main/%2314.jpg"> <img src="https://huggingface.co/proximasanfinetuning/luna-diffusion/resolve/main/%2315.jpg">

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license

This model is licensed under a modified CreativeML OpenRAIL-M license.

• Utilizing and hosting the Luna Diffusion model and its derivatives on platforms that earn, will earn, or plan to earn revenue or donations requires prior authorization. To request permission, please email [email protected].
• You are permitted to host the model card and files on both commercial and non-commercial websites, apps, etc. as long as you properly credit the model by stating its full name and providing a link to the model card (https://huggingface.co/proximasanfinetuning/luna-diffusion), without performing any actual inference or finetuning.
• The Luna Diffusion model and its derivatives can be hosted on non-commercial websites, apps, etc. as long as no revenue or donations are received. Proper credit must be given by stating the full model name and including a link to the model card (https://huggingface.co/proximasanfinetuning/luna-diffusion).
• The outputs of the model or its derivatives can be used for commercial purposes as long as the usage is limited to teams of 10 or fewer individuals.
• You can't use the model to deliberately produce nor share illegal or harmful outputs or content
• The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
• You may re-distribute the weights. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the modified CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here: https://huggingface.co/proximasanfinetuning/luna-diffusion/blob/main/luna_diffusion_license.txt