Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
graffiti
style
sticker
protoart
graffiti sticker
Instructions to use brushpenbob/graffiti-sticker-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brushpenbob/graffiti-sticker-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("brushpenbob/graffiti-sticker-xl") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Graffiti Sticker XL

- Prompt

- Prompt

- Prompt

- Prompt

- Prompt
Model description
whats up yall, here is an updated version of my graffitti sticker
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('brushpenbob/graffiti-sticker-xl', weight_name='Graffiti_Sticker_XL.safetensors')
image = pipeline('Your custom prompt').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 brushpenbob/graffiti-sticker-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0