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
File size: 134 Bytes
11bd5ac | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5911e4477736284179a9e5cce75491edb8061d7d4311168fa9596c91c90ee08e
size 492307041
|