Instructions to use prithivMLmods/Qwen-Image-Fragmented-Portraiture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Qwen-Image-Fragmented-Portraiture 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("prithivMLmods/Qwen-Image-Fragmented-Portraiture") prompt = "Fragmented Portraiture, a close-up shot of a young Asian girls face is seen through a transparent window. The girls head is tilted slightly to the left, and his eyes are wide open. Her hair is a vibrant shade of black, and he is wearing a white collared shirt with a white collar. Her lips are painted a bright pink, adding a pop of color to the scene. The backdrop is a stark white, creating a stark contrast to the boys body. The window is made up of thin, light-colored wooden blinds, adding depth to the image." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/1aef50620d1cf16630425ee9120ec93f.jpg
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Git LFS Details
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qwen-fragmented-portraiture.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3951fb2453fa7ab1c2260080cfde2ef491f8056f071f5d2f6ad8bded2e7410ee
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size 1179978088
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