Instructions to use Paulington/2nd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Paulington/2nd 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("Paulington/2nd") prompt = "bu_st" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
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README.md
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt:
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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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## Trigger words
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You should use `
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## Download model
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: bu_st
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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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## Trigger words
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You should use `bu_st` to trigger the image generation.
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## Download model
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