Instructions to use ms2stationthis/cheeseworld1flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/cheeseworld1flux 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/cheeseworld1flux") prompt = "This is a highly detailed CGI rendering of a cartoonish, anthropomorphic panda standing in the middle of a bustling urban street, exhibiting elements of a \"cheeseworld\" artistic style. The panda is depicted with exaggerated features, including a massive, muscular build and an extremely wide, toothy grin that reveals gold-colored teeth, giving it a menacing yet playful appearance. The panda, which seem to be taken straight from a cheeseworld scenario, is wearing a black baseball cap backwards, a gold chain around its neck, and black pants. Its fur is rendered in a realistic, smooth texture, with the typical black and white pattern of a panda." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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