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:
- 725db07922f77a7add4b438dcb2b97f68bbb7dff422a6fe2da9d37b4b2cecb8a
- Size of remote file:
- 3.77 MB
- SHA256:
- ea0708ed96388d825dfc5d4a55016da4a85f4e5b6b2d2739f80ae994f9ee0b31
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