Instructions to use ilkerzgi/krea-2-aged-wetplate-monochrome-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-aged-wetplate-monochrome-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-wetplate-monochrome-lora") prompt = "a lighthouse on a rocky cliff. aged wetplate monochrome style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add ComfyUI-compatible weights (keys remapped to diffusion_model.)
Browse files
aged-wetplate-monochrome-comfy.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36c987aafc5085352e37aba0ff8c1eb22a273cf9ae3312c2159968f8334da82d
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size 234676792
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