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--- |
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license: apache-2.0 |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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dataset: hahminlew/kream-product-blip-captions |
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tags: |
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- stable-diffusion-xl |
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- stable-diffusion-xl-diffusers |
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- text-to-image |
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- diffusers |
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- lora |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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inference: true |
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datasets: |
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- hahminlew/kream-product-blip-captions |
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language: |
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- en |
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pipeline_tag: text-to-image |
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widget: |
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- text: >- |
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uter, The Nike x Balenciaga Down Jacket Black, a photography of a black down |
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jacket with a logo on the chest. |
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output: |
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url: images/example_4nqjjbsno.png |
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- text: >- |
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outer, Undermycar Dtrange Dead Starange Destroyed Bomber Obsidian - 23SS, a |
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photography of a black jacket with a zipper on the front |
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output: |
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url: images/example_0xl5w1lxm.png |
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--- |
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# Inference |
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```python |
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from diffusers import DiffusionPipeline |
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import torch |
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16) |
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pipe.to("cuda") |
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pipe.load_lora_weights("VikramSingh178/sdxl-lora-finetune-product-caption") |
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prompt = "outer, The Nike x Balenciaga Down Jacket Black, a photography of a black down jacket with a logo on the chest." |
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image = pipe(prompt, num_inference_steps=45, guidance_scale=7.5).images[0] |
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image.save("example.png") |
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``` |
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