End of training

README.md

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+---
+license: creativeml-openrail-m
+library_name: diffusers
+tags:
+- text-to-image
+- diffusers
+- lora
+- stable-diffusion
+- stable-diffusion-diffusers
+base_model: runwayml/stable-diffusion-v1-5
+inference: true
+instance_prompt: a pixel art
+---
+
+<!-- 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. -->
+
+
+# LoRA DreamBooth - DonGenialo/tti_db_lora_pixel_images_10_learning-rate-1e-6
+
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a pixel art using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+LoRA for the text encoder was enabled: False.
+
+
+## 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]

pytorch_lora_weights.safetensors

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