metadata
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- diffusers-training
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: a cartoon graffiti character of TOK
- text: >-
a surreal illustration of <s0><s1>, a cartoon graffiti character floating
in a cosmic background, in the style of <s0><s1>
output:
url: images/example_l8irlowpc.png
- text: >-
a mural featuring a cartoon graffiti character of <s0><s1> spraying
vibrant colors on a brick wall, in the style of <s0><s1>
output:
url: images/example_11tsa7rpk.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a cartoon graffiti character of TOK
license: openrail++
SDXL LoRA DreamBooth - guillepinto/pinky-lora-v5

- Prompt
- a surreal illustration of <s0><s1>, a cartoon graffiti character floating in a cosmic background, in the style of <s0><s1>

- Prompt
- a mural featuring a cartoon graffiti character of <s0><s1> spraying vibrant colors on a brick wall, in the style of <s0><s1>
Model description
These are guillepinto/pinky-lora-v5 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
Download model
Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download
pinky-lora-v5.safetensors
here 💾.- Place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:pinky-lora-v5:1>
to your prompt. On ComfyUI just load it as a regular LoRA.
- Place it on your
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('guillepinto/pinky-lora-v5', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('a cartoon graffiti character of TOK').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Trigger words
You should use a cartoon graffiti character of TOK to trigger the image generation.
Details
All Files & versions.
The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.
LoRA for the text encoder was enabled. False.
Pivotal tuning was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.