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Update README.md

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  ---
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- license: mit
 
 
 
 
 
 
 
 
 
 
 
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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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- library_name: diffusers
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  pipeline_tag: text-to-image
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  ---
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- ---
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- license: mit
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- language:
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- - en
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- tags:
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- - art
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  ---
 
 
 
 
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+
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+ # Inference
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+
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+ ```python
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+ from diffusers import DiffusionPipeline
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+ import torch
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+
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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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+
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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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+
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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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+