Instructions to use ozicozy/abdulcanbaz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ozicozy/abdulcanbaz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1,stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ozicozy/abdulcanbaz") prompt = "abducanbaz style, a standing man front of a wall, wearing white trouser, white hat, one hand in pocket, black upright mustaches. man's shadow on the wall. minimalist line art, black and white, ink drawing, flat lighting." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
abdulcanbaz

- Prompt
- abducanbaz style, a standing man front of a wall, wearing white trouser, white hat, one hand in pocket, black upright mustaches. man's shadow on the wall. minimalist line art, black and white, ink drawing, flat lighting.
Trigger words
You should use abdulcanbaz to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for ozicozy/abdulcanbaz
Base model
stabilityai/stable-diffusion-xl-base-1.0