Instructions to use Muapi/pepe_frog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/pepe_frog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/pepe_frog") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 2758fb14074ad6b6bc3fad65d872cee439a387eb5924e1658f4d883a8835d9b6
- Size of remote file:
- 298 kB
- SHA256:
- e0970d027bb42efa501ffc2b47894d5eeda2abc0903a7751ef48f328b0fc34ea
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