Instructions to use XLabs-AI/flux-RealismLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-RealismLora 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("XLabs-AI/flux-RealismLora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Small spelling correction (#13)
Browse files- Small spelling correction (efe1095fef62877aa40f1d6f84faf72113c086fd)
Co-authored-by: linton achmad <[email protected]>
README.md
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[See our github](https://github.com/XLabs-AI/x-flux-comfyui) for comfy ui workflows.
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# Training details
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[XLabs AI](https://github.com/XLabs-AI) team is happy to publish
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- **LoRA** 🔥
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- **ControlNet** 🔥
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[See our github](https://github.com/XLabs-AI/x-flux-comfyui) for comfy ui workflows.
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# Training details
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[XLabs AI](https://github.com/XLabs-AI) team is happy to publish fine-tuning Flux scripts, including:
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- **LoRA** 🔥
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- **ControlNet** 🔥
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