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Envy Kyotopunk XL 01

Prompt
kyotopunk, cyberpunk, anime style, noon, scenery, "at the soaring Conclave"
Prompt
kyotopunk, zukuri, anime style, morning, blue sky, clouds, scenery, in a evocative Hydroponic Agriculture Domes
Prompt
kyotopunk, zukuri, anime style, fantasy, wonderous fantasy megastructure outside of reality
Prompt
kyotopunk, cyberpunk, anime style, 1girl, woman, beautiful, noon, architecture, "at the Cataclysmic Anomaly"
Prompt
kyotopunk, zukuri, anime style, 1boy, man, ruggedly handsome, warmly lit interior, in a Lively Rainforest canopy walkway
Prompt
kyotopunk, zukuri, anime style, fantasy, modern art gallery in a gargantuan,Hyperborean scifi arcology at the beginning of reality, masterpiece, by Juhani Jokinen
Prompt
kyotopunk, zukuri, anime style, 1boy, man, ruggedly handsome, golden hour, blue sky, clouds, architecture, "at the Unearthly Nexus"
Prompt
kyotopunk, zukuri, anime style, 1boy, man, ruggedly handsome, natural sunlight, interior, in a Bohemian Rooftop terrace cafe
Prompt
kyotopunk, zukuri, anime style, fantasy, robot maid cafe in a utopian fantasy megastructure at the beginning of time, masterpiece

Model description

An outlandish, over-the-top, Japanese-inspired architectural and character style that works great for scifi, fantasy, and cyberpunk.

Trigger words

You should use kyotopunk 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-kyotopunk-xl-01', weight_name='EnvyKyotopunkXL01.safetensors')
image = pipeline('kyotopunk, zukuri, anime style, fantasy, robot maid cafe in a utopian fantasy megastructure at the beginning of time, masterpiece').images[0]

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

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