Instructions to use ms2stationthis/wademadeflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/wademadeflux 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("ms2stationthis/wademadeflux") prompt = "This image is a digital illustration in a wademade style, depicting a young boy. The boy has a dark brown complexion and is centered in the frame, facing forward with a neutral expression. This wademade art style brings out realism in the image, where the boy is wearing a white baseball cap, which casts a shadow across his forehead and eyes, creating a dramatic effect. The cap's brim is slightly curved, and it has a small, rectangular patch at the front. The boy is also adorned with a gold chain necklace that hangs loosely around his neck, adding a touch of sophistication to his attire. He is dressed in a light blue hoodie, which has a soft texture and a slightly puffy appearance, suggesting comfortable material and reflecting the vibrancy of the wademade style. The background is a plain, muted green color, which contrasts sharply with the bright blue lighting that highlights the boy's features and clothing, giving the wademade style image a somewhat ethereal feel. The lighting and color palette create a striking visual contrast, emphasizing the boy's dark skin and the brightness of his accessories. The overall wademade style is clean and polished, with a focus on realism and attention to detail." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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