Instructions to use mrTvister/pepe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/pepe 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("mrTvister/pepe") prompt = "p3p3ka. An illustration of Pepe the frog in a festive hat in honor of his birthday, he is stroking a black and white mongrel dog. The dog has a keychain in the shape of a bitcoin coin hanging on his collar" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Pepe

- Prompt
- p3p3ka. An illustration of Pepe the frog in a festive hat in honor of his birthday, he is stroking a black and white mongrel dog. The dog has a keychain in the shape of a bitcoin coin hanging on his collar
Trigger words
You should use p3p3ka to trigger the image generation.
You should use Pepe the frog to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mrTvister/pepe
Base model
black-forest-labs/FLUX.1-dev