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metadata
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