Instructions to use Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template 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.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template") prompt = "A young man, gold hair, white T-shirt. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# FLUX.1-dev-LoRA-One-Click-Creative-Template
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## Acknowledgements
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This model is trained by our copyrighted users [Nvwa_model_studio](https://www.shakker.ai/userpage/cd65d71ff6a74bbfaaeba0b898dbf856/publish). We release this model under permissions.
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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library_name: diffusers
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---
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# FLUX.1-dev-LoRA-One-Click-Creative-Template
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## Acknowledgements
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This model is trained by our copyrighted users [Nvwa_model_studio](https://www.shakker.ai/userpage/cd65d71ff6a74bbfaaeba0b898dbf856/publish). We release this model under permissions.
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