End of training

README.md

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+---
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+library_name: diffusers
+license: openrail++
+instance_prompt: A dense canopy of very ytr healthy watermelon plants. The leaf is
+  captured with a Canon DSLR handheld camera in natural lighting resembling a real
+  watermelon growing environment
+widget: []
+tags:
+- text-to-image
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# SDXL LoRA DreamBooth - nitindominicrai/healthy
+
+<Gallery />
+
+## Model description
+
+These are nitindominicrai/healthy LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+
+## Trigger words
+
+You should use A dense canopy of very ytr healthy watermelon plants. The leaf is captured with a Canon DSLR handheld camera in natural lighting resembling a real watermelon growing environment to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](nitindominicrai/healthy/tree/main) them in the Files & versions tab.
+
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

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