Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use baruga/hideous-blobfish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use baruga/hideous-blobfish with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baruga/hideous-blobfish", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of blofi fish in Times Square." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from baruga/hideous-blobfish: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/baruga/hideous-blobfish/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://baruga/hideous-blobfish/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/baruga/hideous-blobfish/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 11ff62b8ca5001eea9d8df19b30aa12ae812c821881eec8e75291056e08bb93d
- Size of remote file:
- 3.44 GB
- SHA256:
- 3235c63af5a200b313e9abd2858834a7489bbf4c95131475f47d3b49805de6a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.