Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use lazzdw/fatyoshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lazzdw/fatyoshi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lazzdw/fatyoshi", dtype=torch.bfloat16, device_map="cuda") prompt = "fatchonkyyoshi, by van gogh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from lazzdw/fatyoshi: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/lazzdw/fatyoshi/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://lazzdw/fatyoshi@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lazzdw/fatyoshi/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- e25a9106ac8556d24521ffad5f567cf19285f652f4ff0394b5068f07291924b8
- Size of remote file:
- 492 MB
- SHA256:
- 54e7011a90b146c62a03f207b2adccedb34a4015a8da818d612dd0b344274f9d
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