Instructions to use ilkerzgi/krea-2-neon-projection-mapping-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-neon-projection-mapping-lora 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ilkerzgi/krea-2-neon-projection-mapping-lora") prompt = "a lighthouse on a rocky cliff. neon projection mapping style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 854637a9317d4b9b3683ae4c9461393e12759261087b25e6d39474bda029947e
- Size of remote file:
- 235 MB
- SHA256:
- 06ed0e13231f7fb85ff5a8c7a95eb05d0e1d6472402dd9acc1dff17e6350f385
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