Doctor Diffusion's Controllable Vector Art XL LoRA
Model description
This LoRA was trained exclusively on modified and captioned CC0/Pubic Domain images by myself!
USE: "vector" with v2
or
"vctr artstyle" with v1
You can control the level of detail and type of vector art and if there are outlines with these prompts:
For color results use:
"simple details"
"complex details"
"outlines"
"solid color background"
For black and white line art use:
"black line art"
"white background"
Trigger words
You should use vector
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 𧨠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-controllable-vector-art-xl-lora', weight_name='DD-vector-v2.safetensors')
image = pipeline('`vector`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0