license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- style
- drone photography
- overhead shot
- top down photography
- god's eye view
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
- text: ' cinematic still of a small town by the ocean in the south italy, dramatic light'
output:
url: 2866780.jpeg
- text: ' a bear standing in a river in a forest'
output:
url: 2866781.jpeg
- text: ' a tropical resort on a heart shaped island in the ocean'
output:
url: 2866779.jpeg
- text: ' a morden house on cliff by the ocean, by Adrian Tomine'
output:
url: 2866847.jpeg
- text: ' a japanese garden , by Adrian Tomine'
output:
url: 2866846.jpeg
Drone Photography for XL - 无人机摄影
- Prompt
- cinematic still of a small town by the ocean in the south italy, dramatic light
- Prompt
- a bear standing in a river in a forest
- Prompt
- a tropical resort on a heart shaped island in the ocean
- Prompt
- a morden house on cliff by the ocean, by Adrian Tomine
- Prompt
- a japanese garden , by Adrian Tomine
(CivitAI)
Model description
This LoRA model is used to simulate drone aerial photos. It not only reproduces the drone's signature top-down perspective (God's eye view), but also applies the best practices of drone photography composition to produce aesthetically pleasing images.
It can be used to generate a variety of subjects, including natural landscapes, urban sceneries, buildings, and animals.
Currently, there is only a version for SDXL 1.0, with a recommended LoRA weight of 0.8.
此 LoRA 模型用以模拟无人机航拍照片。不只再现无人机标志性的垂直向下视角（上帝视角），而且应用了无人机摄影的构图最佳实践，以生成符合美学要求的照片。可以用来生成自然景观，城市景观，建筑，动物等多样化题材。
目前只有针对 SDXL 1.0 的版本，权重推荐使用 0.8。
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('lordjia/drone-photography-for-xl-wu-ren-ji-she-ying', weight_name='drone_photo_v1.0_XL.safetensors')
image = pipeline('
a japanese garden , by Adrian Tomine').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers