Instructions to use Tiwaz/CenKreChro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tiwaz/CenKreChro with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tiwaz/CenKreChro", 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
Add model_index.json
#1
by spooknik - opened
Hello, thank you for this excellent merge. I am trying to make an SVDQuant using deepcompressor and it requires there is a model_index.json in the root of the repo in order to understand the structure. This model_index.json is the same as Flux dev is using, it looks to also match CenKreChro.
Tiwaz changed pull request status to merged