Instructions to use api-wanzofc/wanzofc-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use api-wanzofc/wanzofc-ai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Chat-Error/Tiny_random_pixel_art", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("api-wanzofc/wanzofc-ai") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: >-
images/Screenshot_2024-11-21-03-04-59-21_6012fa4d4ddec268fc5c7112cbb265e7.jpg
base_model: Chat-Error/Tiny_random_pixel_art
instance_prompt: hai
license: apache-2.0
wanz

- Prompt
- -
Model description
haloo selamst datang di chat gpt clone ai wanz
Trigger words
You should use hai to trigger the image generation.
Download model
Download them in the Files & versions tab.