Instructions to use liming518/krea2pulledout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/krea2pulledout 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("liming518/krea2pulledout") prompt = "Cropped example picture from the creator" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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images/img0.jpg
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text: >-
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Cropped example picture from the creator
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base_model: krea/Krea-2-Turbo
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instance_prompt: null
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images/img0.jpg
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text: >-
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Cropped example picture from the creator
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- output:
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url: >-
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images/img1.jpg
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text: >-
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Cropped censored img I created with this lora
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base_model: krea/Krea-2-Turbo
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instance_prompt: null
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