metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - dark
  - concept
  - water
  - shadow
  - silhouette
  - backlighting
  - photogrphy
  - foreground
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: sli artstyle
widget:
  - text: ' sil, artstyle, photo skull spaceman in water infront of fire'
    output:
      url: 3011283.jpeg
  - text: ' sil, artstyle, photo skull spaceman in water infront of fire'
    output:
      url: 3011288.jpeg
  - text: ' '
    output:
      url: 3011320.jpeg
  - text: ' '
    output:
      url: 3011323.jpeg
  - text: ' '
    output:
      url: 3011327.jpeg
  - text: ' sil, artstyle,  skeleton  photo bear infront of moon'
    output:
      url: 3011395.jpeg
  - text: ' '
    output:
      url: 3012637.jpeg
  - text: ' '
    output:
      url: 3012492.jpeg
  - text: ' '
    output:
      url: 3012686.jpeg
  - text: ' '
    output:
      url: 3012689.jpeg

Doctor Diffusion's Stylized Silhouette Photography XL LoRA

Prompt
sil, artstyle, photo skull spaceman in water infront of fire

Prompt
sil, artstyle, skeleton photo bear infront of moon

Model description

Trained on a collection of my personal and CC0 stylized silhouette photography.

Use "sli artyle" in prompt.

Other powerful control Tokens:
"in water"
"vintage"
"infront of" "city" "fire" "space"
"backlight"

☕ Like what I do? ☕
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Trigger words

You should use sli artstyle, infront of, in 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

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('DoctorDiffusion/doctor-diffusion-s-stylized-silhouette-photography-xl-lora', weight_name='DD-sli-v1.safetensors')
image = pipeline('`sli artstyle`, `infront of`, `in water`').images[0]

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