Instructions to use MJaheen/Pepe_The_Frog_model_v1_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MJaheen/Pepe_The_Frog_model_v1_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MJaheen/Pepe_The_Frog_model_v1_lora") prompt = "pepe the frog coding on a laptop" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
runwayml/stable-diffusion-v1-5

- Prompt
- pepe the frog coding on a laptop
Trigger words
You should use Pepe The Frog to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for MJaheen/Pepe_The_Frog_model_v1_lora
Base model
runwayml/stable-diffusion-v1-5