Instructions to use ManglerFTW/CharHelper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManglerFTW/CharHelper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ManglerFTW/CharHelper", 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
- Xet hash:
- cd4ece68f68bd047d63f68285da26efdb4b8479d44ee42d2cadd50059dfdcaaf
- Size of remote file:
- 1.36 GB
- SHA256:
- 31a93d68789f281fd69c022f697bc9708a34dec9e0a97e7a315dce26b22c0a82
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