Training complete

README.md

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+---
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+- template:sd-lora
+widget:
+
+        - text: 'a advertising photo of the TOK bottle'
+        
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: a advertising photo of the TOK bottle
+license: openrail++
+---
+
+# SDXL LoRA DreamBooth - tushaar21/lcm-lora-sdxl-500-rank6
+
+<Gallery />
+
+## Model description
+
+### These are tushaar21/lcm-lora-sdxl-500-rank6 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+## Download model
+
+### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
+
+- **LoRA**: download **[`/content/drive/MyDrive/lora-lcm-sdxl-500/checkpoint-200.safetensors` here 💾](/tushaar21/lcm-lora-sdxl-500-rank6/blob/main//content/drive/MyDrive/lora-lcm-sdxl-500/checkpoint-200.safetensors)**.
+    - Place it on your `models/Lora` folder.
+    - On AUTOMATIC1111, load the LoRA by adding `<lora:/content/drive/MyDrive/lora-lcm-sdxl-500/checkpoint-200:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
+
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('tushaar21/lcm-lora-sdxl-500-rank6', weight_name='pytorch_lora_weights.safetensors')
+
+image = pipeline('a advertising photo of the TOK bottle').images[0]
+```
+
+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)
+
+## Trigger words
+
+You should use a advertising photo of the TOK bottle to trigger the image generation.
+
+## Details
+All [Files & versions](/tushaar21/lcm-lora-sdxl-500-rank6/tree/main).
+
+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).
+
+LoRA for the text encoder was enabled. False.
+
+Pivotal tuning was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+

optimizer.bin

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random_states_0.pkl

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scaler.pt

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scheduler.bin

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