Instructions to use Thnesko/Krea2_Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thnesko/Krea2_Loras 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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thnesko/Krea2_Loras") prompt = "Smiling Cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 5 files
Browse files
LoRa_Foxbaey.safetensors
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images/623932409_1233021938925338_6298497108347682219_n.gif
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Git LFS Details
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