Instructions to use aztro/eiks-dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aztro/eiks-dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aztro/eiks-dreambooth") prompt = "a woman " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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negative_prompt: Low quality
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output:
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url: images/rikis-play-boy_000003_0.png
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base_model:
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instance_prompt: a woman
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license: creativeml-openrail-m
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---
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Weights for this model are available in Safetensors format.
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[Download](/aztro/eiks-dreambooth/tree/main) them in the Files & versions tab.
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negative_prompt: Low quality
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output:
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url: images/rikis-play-boy_000003_0.png
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base_model:
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- stabilityai/sdxl-turbo
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- laurievb/OpenLID
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instance_prompt: a woman
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license: creativeml-openrail-m
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---
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Weights for this model are available in Safetensors format.
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[Download](/aztro/eiks-dreambooth/tree/main) them in the Files & versions tab.
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