Moises08/underwater-xl

Underwater XL

Prompt

Prompt

drkmdatmsftpicture close-up of a beautiful 1woman with red long hair looking at the camera with pale skin, lies under water, black flowers in her hair, gloomy atmosphere, soft colors, soft light, polaroid, film, dark theme, disturbing atmosphere

Negative Prompt

bad anatomy, Cross-eyed, Distorted nose, Imperfect eyes, Distorted face, Low details, Underexposed, Low resolution, Distortion, realism, open mouth, teeth visible

Prompt

drkmdatmsftpicture close-up of a beautiful 1woman with red long hair looking at the camera with pale skin, lies under water, black flowers in her hair, gloomy atmosphere, soft colors, soft light, polaroid, film, dark theme, disturbing atmosphere

Negative Prompt

bad anatomy, Cross-eyed, Distorted nose, Imperfect eyes, Distorted face, Low details, Underexposed, Low resolution, Distortion, realism, open mouth, teeth visible

Prompt

drkmdatmsftpicture close-up of a beautiful 1woman with red long hair looking at the camera with pale skin, in the dark group of creepy men with a creepy face and a creepy nose in the background, gloomy atmosphere, soft colors, soft light, polaroid, film, dark theme, disturbing atmosphere

Negative Prompt

bad anatomy, Cross-eyed, Distorted nose, Imperfect eyes, Distorted face, Low details, Underexposed, Low resolution, Distortion, realism, open mouth, teeth visible

Prompt

Model description

I wanted to create a model that would combine the style of the beautiful and the disturbing.

Trigger - drkmdatmsft lies under water

Trigger words

You should use drkmdatmsftpicture, lies under water to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to(device)
pipeline.load_lora_weights('Moises08/underwater-xl', weight_name='drkmdatmsfXL.safetensors')
image = pipeline('`drkmdatmsftpicture`, `lies under water`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers