Instructions to use gaherfuyhj/ivDaoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gaherfuyhj/ivDaoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/Hyper-SD", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gaherfuyhj/ivDaoo") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse filesSee through clothing
https://cdn-uploads.huggingface.co/production/uploads/66d264228be9520f3e2d8694/pKHFy2FowT9fZvvYl2J6o.mp4
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url: images/666f0155b3e37af62a90c8aa88e6222b.png
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base_model: ByteDance/Hyper-SD
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instance_prompt: null
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# ivfaoo
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## Download model
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[Download](/gaherfuyhj/ivDaoo/tree/main) them in the Files & versions tab.
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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widget:
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- text: '-'
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output:
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url: images/666f0155b3e37af62a90c8aa88e6222b.png
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base_model: ByteDance/Hyper-SD
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instance_prompt: null
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pipeline_tag: text-to-video
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---
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# ivfaoo
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## Download model
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[Download](/gaherfuyhj/ivDaoo/tree/main) them in the Files & versions tab.
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