Instructions to use kmpartner/bk-testcan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/bk-testcan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/bk-testcan", 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: 110 Bytes
5fdb5b8 | 1 2 | epoch,step,global_step,loss_total,loss_sd,loss_kd_output,loss_kd_feat,lr,lamb_sd,lamb_kd_output,lamb_kd_feat |