Instructions to use sasa30/ppeeddrriittoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sasa30/ppeeddrriittoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sasa30/ppeeddrriittoo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from sasa30/ppeeddrriittoo: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/sasa30/ppeeddrriittoo/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sasa30/ppeeddrriittoo/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sasa30/ppeeddrriittoo/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- db9119afaf06fe1bb1a81caaff44d4d5177d910fc37b8918b7e52e7fb568dd49
- Size of remote file:
- 246 MB
- SHA256:
- 135e04b5157e6856a9f1c0669c776f61e4437f366c5006f8e6467980507a33f7
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