Instructions to use troolkick/Caroline-Lora-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use troolkick/Caroline-Lora-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("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("troolkick/Caroline-Lora-V1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Carolinev1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3271a08d1b9ad8fc37d5f76da89d1712b0a20842dc7d758dafcb12aefbf7d5e
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size 177141240
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images/bytedance-seedream-v4-edit-sequential_2025-12-08_202831_9p46.jpeg
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Git LFS Details
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