e-n-v-y/envy-fantasy-art-deco-xl-01

Envy Fantasy Art Deco XL 01

Prompt

fantasy art deco, cinematic color grading, fantasy, chinatown in a great scifi cosmic megastructure outside of reality, masterpiece

Prompt

fantasy art deco, cinematic color grading, anime style, 1boy, man, ruggedly handsome, golden hour, scenery, in a Carbon Dioxide Snowfields

Prompt

fantasy art deco, cinematic color grading, fantasy, Kelp Forest

Prompt

fantasy art deco, cinematic color grading, scifi, underground living area in a far future,empty fantasy underwater topia outside of time, masterpiece

Prompt

fantasy art deco, cinematic color grading, anime style, 1girl, woman, beautiful, warmly lit interior, in a Tidy spaceport

Prompt

fantasy art deco, cinematic color grading, anime style, 1boy, man, ruggedly handsome, noon, scenery, in a Illusionist's Mirrored Maze

Prompt

fantasy art deco, cinematic color grading, anime style, 1girl, woman, beautiful, noon, blue sky, clouds, scenery, in a Mundane Hydroponic Agriculture Domes

Prompt

fantasy art deco, cinematic color grading, fantasy, space elevator in a great,forbidden fantasy megacity at the beginning of reality, masterpiece, by Pablo Dominguez

Model description

A fantasy art deco architectural style. Also makes neat character portraits.

Trigger words

You should use fantasy art deco 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

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('e-n-v-y/envy-fantasy-art-deco-xl-01', weight_name='EnvyFantasyArtDecoXL01.safetensors')
image = pipeline('fantasy art deco, cinematic color grading, fantasy, space elevator in a great,forbidden fantasy megacity at the beginning of reality, masterpiece, by Pablo Dominguez').images[0]

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