Instructions to use protag0ras/flux1dev-ElleFanningLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use protag0ras/flux1dev-ElleFanningLora 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("protag0ras/flux1dev-ElleFanningLora") prompt = "candid photograph of ellefanning sitting in a dark cafe, wearing a crop top sweater and a beanie hat and baggy pants, PG picture, sfw, wearing round glasses, cinematic <lora:elle-fanning-v5:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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of evening lights, creating an atmosphere of sophistication and star-studded glamour <lora:elle-fanning-v5:1>
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: ellefanning
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license:
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of evening lights, creating an atmosphere of sophistication and star-studded glamour <lora:elle-fanning-v5:1>
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: ellefanning
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license: cc-by-nc-4.0
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language:
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