Instructions to use NO8D/ExpressionControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/ExpressionControl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NO8D/ExpressionControl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Klein does not have LoRAs like the PixelSmile for QIE2511, so I decided to train a set myself! like the QIE2511 version, this collection allows for fine‑grained and linear control over facial expressions while maintaining high character consistency
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##
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[Download](/NO8D/ExpressionControl/tree/main) them in the Files & versions tab.
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Klein does not have LoRAs like the PixelSmile for QIE2511, so I decided to train a set myself! like the QIE2511 version, this collection allows for fine‑grained and linear control over facial expressions while maintaining high character consistency
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### happy
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# Continuously updating
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## I'm an independent model and workflow developer. If you like my work and want to support independent development, please consider buying me a cup of coffee to keep this motivation going! Thank you very much.
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[support](https://www.patreon.com/posts/welcome-to-my-ai-151306281?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link) 🫡 May the AI-power be with you, see you soon !🫡
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