Instructions to use anthienlong/hatawa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/hatawa 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("anthienlong/hatawa") prompt = "htw sexy woman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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output:
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url: images/hatawa.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt:
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license: unknown
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---
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# Hatawa Portrait
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output:
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url: images/hatawa.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt:
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license: unknown
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# Hatawa Portrait
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