Instructions to use thegovind/reddogpillmodel512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thegovind/reddogpillmodel512 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thegovind/reddogpillmodel512", dtype=torch.bfloat16, device_map="cuda") prompt = "reddogpill" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from thegovind/reddogpillmodel512: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/thegovind/reddogpillmodel512/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://thegovind/reddogpillmodel512/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/thegovind/reddogpillmodel512/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- ac673ed7c5a9dc17ba8040dfea4c1c204603329980e9e1ad3c9d43c9eb5c588f
- Size of remote file:
- 1.36 GB
- SHA256:
- 8a60fc3297649fc984834575e3382075cbaa1159a2ffcff88cfeb8b9c7bb8142
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