metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Evang
widget:
- text: ' '
output:
url: 1440473.jpeg
Vintage art style
- Prompt
Model description
This models trained on vintage art
Trigger words
You should use Evang 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/vintage-art-style', weight_name='vintage art dreamlookai_analog-diffusion_lora_step_5000_db_32f8484b_ckp_01f47a6d.safetensors')
image = pipeline('`Evang`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers