Instructions to use ilkerzgi/krea-2-aged-fresco-decay-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-aged-fresco-decay-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-aged-fresco-decay-lora") prompt = "a lighthouse on a rocky cliff. aged fresco decay style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 007fd6bdc6fa92053411fdbe91456510a780e40792ccb1f3dec294fd6aa678b9
- Size of remote file:
- 235 MB
- SHA256:
- 37e455df843f33e78bf9de9fa10378201c7f5770a4e4b4a7e73ff56b9f914114
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