End of training
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README.md
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---
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- diffusers-training
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- text-to-image
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- diffusers
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- dora
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- template:sd-lora
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widget:
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- text: '2d computer aided design image of a tyre tread with 5RIBS'
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: 2d computer aided design image of a tyre tread with 5RIBS
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license: openrail++
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---
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# SDXL LoRA DreamBooth - muhilan-a/tyre-thread-generation-with-lora
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<Gallery />
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## Model description
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### These are muhilan-a/tyre-thread-generation-with-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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## Download model
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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- **LoRA**: download **[`tyre-thread-generation-with-lora.safetensors` here 💾](/muhilan-a/tyre-thread-generation-with-lora/blob/main/tyre-thread-generation-with-lora.safetensors)**.
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- Place it on your `models/Lora` folder.
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- On AUTOMATIC1111, load the LoRA by adding `<lora:tyre-thread-generation-with-lora:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('muhilan-a/tyre-thread-generation-with-lora', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('2d computer aided design image of a tyre tread with 5RIBS with a different design in the image ').images[0]
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```
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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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## Trigger words
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You should use 2d computer aided design image of a tyre tread with 5RIBS to trigger the image generation.
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## Details
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All [Files & versions](/muhilan-a/tyre-thread-generation-with-lora/tree/main).
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The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
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LoRA for the text encoder was enabled. False.
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Pivotal tuning was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a62b8eb0d4710127e993e3c1a930a0323078616644f093963f004a4e801f70b1
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size 23390424
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tyre-thread-generation-with-lora_emb.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:685f4281cd630176846a1ad031260413c8d062c9c8c77d3d24d3c75e08c75996
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size 16536
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