Instructions to use tftgregrge/mpid-bkdbj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tftgregrge/mpid-bkdbj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tftgregrge/mpid-bkdbj", 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 tftgregrge/mpid-bkdbj: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/tftgregrge/mpid-bkdbj/resolve/d8fc84a5dfaed2de7dc385e575529addf94de85c/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://tftgregrge/mpid-bkdbj@d8fc84a5dfaed2de7dc385e575529addf94de85c/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tftgregrge/mpid-bkdbj/resolve/d8fc84a5dfaed2de7dc385e575529addf94de85c/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 9591ba8a12f0ea322c559ecbe9363db97c401106777a091afb68a0e50a33ad20
- Size of remote file:
- 492 MB
- SHA256:
- 5911e4477736284179a9e5cce75491edb8061d7d4311168fa9596c91c90ee08e
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