| --- |
| tags: |
| - text-to-image |
| - lora |
| - diffusers |
| - template:sd-lora |
| - ai-toolkit |
| base_model: Qwen/Qwen-Image |
| license: creativeml-openrail-m |
| inference: |
| parameters: |
| width: 1024 |
| height: 1024 |
| --- |
| |
| # plstps-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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| No trigger words defined. |
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| ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
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| Weights for this model are available in Safetensors format. |
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| [Download](multimodalart/plstps-lora/tree/main) them in the Files & versions tab. |
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| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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| ```py |
| from diffusers import AutoPipelineForText2Image |
| import torch |
| |
| pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.float16).to('cuda') |
| pipeline.load_lora_weights('multimodalart/plstps-lora', weight_name='plstps_000000250.safetensors') |
| image = pipeline('a beautiful landscape').images[0] |
| image.save("my_image.png") |
| ``` |
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| For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |
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