Instructions to use VHKE/bernese-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/bernese-dog 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("VHKE/bernese-dog") prompt = "Bernese dog walking next to a beach --d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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- images/example_7ctaxs4ed.png +0 -0
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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- fluxgym
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widget:
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# Bernese dog
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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- fluxgym
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widget:
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- output:
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url: sample/bernese-dog_000500_02_20241202155210_45.png
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text: Bernese dog walking next to a beach --d 45
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- output:
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url: sample/bernese-dog_001000_02_20241202160133_45.png
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text: Bernese dog sitting in an open field --d 45
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- output:
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url: sample/bernese-dog_001500_02_20241202161055_45.png
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text: Bernese dog walking on a road --d 45
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- text: Bernese dog walking next to a beach --d 45
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output:
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url: images/example_7ctaxs4ed.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Bernese dog
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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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# Bernese dog
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images/example_7ctaxs4ed.png
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