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
| 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 | |
| <Gallery /> | |
| ## 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](/api-wanzofc/wanzofc-ai/tree/main) them in the Files & versions tab. | |