Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
Instructions to use Prgckwb/jiro-style-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prgckwb/jiro-style-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/jiro-style-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of jirostyle ramen noodles in the park" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Prgckwb/jiro-style-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/Prgckwb/jiro-style-diffusion/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Prgckwb/jiro-style-diffusion@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Prgckwb/jiro-style-diffusion/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 11b5bde68d9306171636a08a5445e433af9cb0575571a369083e0f6905f23854
- Size of remote file:
- 1.36 GB
- SHA256:
- e9c787e9388134c1a25dc69934a51a32a2683b38b8a9b017e1f3a692b8ed6b98
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