Instructions to use Kinimoro/th_ch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kinimoro/th_ch 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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kinimoro/th_ch") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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Model Details Base model: Krea 2 Type: LoRA Subject: Real adult person Example images: None Training images: Not included
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Trigger words You should use Dkee to trigger the image generation.
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Trigger words You should use Nado to trigger the image generation.
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Trigger words You should use sidswe to trigger the image generation.
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You should use th_ch to trigger the image generation.
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Model Details Base model: Krea 2 Type: LoRA Subject: Real adult person Example images: None Training images: Not included
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Trigger words
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You should use th_ch to trigger the image generation.
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