Instructions to use hodgy/shantae-krea2-turbo-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hodgy/shantae-krea2-turbo-v1 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hodgy/shantae-krea2-turbo-v1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 555051dc518636cb7616f3af8e5f219ea1c15e44ae5012d61b7db84d4a4b01f7
- Size of remote file:
- 101 kB
- SHA256:
- a1f516fbd2058d9341d9f4e7f599b8f91a3c9677733451265b44c347b20352a1
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