metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - skeleton
  - style
  - the protoart
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Skeleton_style
widget:
  - text: ' '
    output:
      url: 9549711.jpeg
  - text: ' '
    output:
      url: 9554060.jpeg
  - text: ' '
    output:
      url: 9550713.jpeg

transparent 2.0

Model description

Somewhat of a remake of my original transparent model, this one's focused on skeletons. I haven't added any additional things to the dataset like vehicles or environments as again this is focused on people.

Trigger words

You should use Skeleton_style, Skeleton 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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/transparent-2-0', weight_name='transparent_2.0.safetensors')
image = pipeline('`Skeleton_style`, `Skeleton`').images[0]

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