Instructions to use FutureMindsAI/Wakachungi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FutureMindsAI/Wakachungi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FutureMindsAI/Wakachungi") prompt = "hobflux03. A vintage advertisement for Changi Chips. The image features a middle-aged woman with a rotund chubby physique with a prominent double chin. She has a full, round face with dark brown eyes and short, spiky brown hair. She is wearing a strapless, black top that hugs her upper body, revealing her shoulders. She is holding a large guinea pig which has chubby cheeks and tufts of spikey brown hair. The background depicts a sandy beach with palm trees and a clear blue sky. The text WAKACHUNGI is prominently displayed in large, bold letters at the top of the image, followed by \"Tuscan Tumble Dryer Style\" in smaller, white letters. The image is in the style of soft, textured brushstrokes dance across the canvas, capturing fleeting moments of light and shadow. Colors blend naturally with the environment, giving a sense of atmosphere rather than defined details. The palette is a wash of pastel hues—pinks, purples, and soft blues—creating a dreamy, ethereal quality, as if the scene were observed through a soft focus." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K