Instructions to use tsolful/Krea2_Turbo_Raw_INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tsolful/Krea2_Turbo_Raw_INT8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tsolful/Krea2_Turbo_Raw_INT8", 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
INT8 raw?
#2
by Pandaabear - opened
Hey~
Would you be willing to provide the raw version in int8 as well? c:
Sure uploading now c:
Thank you so much! ππ«‘π«‘
Done, enjoy :)