Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use Prgckwb/trpfrog-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prgckwb/trpfrog-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Prgckwb/trpfrog-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of trpfrog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- d6843ef0e1883fe913e42f4b769458f67e4e01b772cd67aa5feb7eb48d5ad7a0
- Size of remote file:
- 3.46 MB
- SHA256:
- 4fa6f0192f09c78404044c2ecf302088fa45661e7edb09600f3b80a068b75fd7
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