Instructions to use liming518/thinpos3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/thinpos3 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("liming518/thinpos3") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload README.md
Browse files
README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: images/Untitled.jpg
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text: '-'
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: skinny
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---
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# SkinnyHelper
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<Gallery />
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## Trigger words
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You should use `skinny` to trigger the image generation.
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## Download model
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[Download](/tylopez52/SkinnyHelperFLUX/tree/main) them in the Files & versions tab.
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