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--- |
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license: creativeml-openrail-m |
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library_name: diffusers |
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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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- diffusers-training |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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inference: true |
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datasets: |
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- VikramSingh178/Products-10k-BLIP-captions |
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language: |
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- en |
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--- |
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<!-- This model card has been generated automatically according to the information the training script had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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SDXL Product Images |
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#### How to use |
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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/Products10k-SDXL-Lora) |
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prompt = "Commercial 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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