Instructions to use Icepoz/icepoz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Icepoz/icepoz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo,krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Icepoz/icepoz") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 575294e626e9729fb7f9a0b8ecb89d3a5affae468d01a48bfc08ceb2ceaaaacb
- Size of remote file:
- 1.29 MB
- SHA256:
- 96371aba44d0628135c07c879614f8edec2347695807e8bff9c2ac918a0bcf9a
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