Instructions to use someonecool21/mycoolmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use someonecool21/mycoolmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("someonecool21/mycoolmodel", 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
538f96f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d347503ef6e72b6ec92d6a6f0552e66bc844cab8eadb66f7258307b1f86428c6
size 492265874
|