Instructions to use furaidosu/china-qwen-image-lora-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/china-qwen-image-lora-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("furaidosu/china-qwen-image-lora-lora") prompt = "A photo of CHNZRRLL old woman wearing an orange russian spacesuit " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Choquinlabs commited on
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README.md
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parameters:
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width: 1024
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height: 1024
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---
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# china-qwen-image-lora-lora
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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## Trigger words
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parameters:
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width: 1024
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height: 1024
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widget:
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- text: >-
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A photo of CHNZRRLL old woman wearing an orange russian spacesuit
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output:
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url: images/1.png
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- text: >-
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A photo of CHNZRRLL old woman doing a streaming session at her beadroom. Neon fucsia light from the left. cyan light from the right. She is wearing headphones.
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output:
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url: images/2.png
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- text: >-
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A photo of CHNZRRLL old woman at the Buenos Aires gay parade. There are plenty of people. Gay flags. There are many smoke colors.
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output:
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url: images/3.png
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- text: >-
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A photo of CHNZRRLL old woman riding a dark dragon. The dragon is spitting fire. Game of Thrones scene.
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output:
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url: images/4.png
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---
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# china-qwen-image-lora-lora
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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# Gallery
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<Gallery />
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## Trigger words
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