Instructions to use Edweibin/flux-dev-nfsw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Edweibin/flux-dev-nfsw 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("Edweibin/flux-dev-nfsw") prompt = "a girl laughing" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload README.md
Browse files
README.md
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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widget:
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- text: a girl laughing, polaroid style
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output:
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url: images/out-0 - 2024-09-22T130819.351.webp
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: polaroid style
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license: cc-by-nc-4.0
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