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 Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from Prgckwb/trpfrog-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Prgckwb/trpfrog-diffusion/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Prgckwb/trpfrog-diffusion/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Prgckwb/trpfrog-diffusion/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- a0a595b41ca0d6bc3a2d6dc70079b00ebe0df5ca1a7f397bbe4d273c177ea7b7
- Size of remote file:
- 3.44 GB
- SHA256:
- e6ffe23049225d06fbd5f4ba8bdf4b8535b53de6d064e5febff6a9fc9b179e25
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