| | --- |
| | base_model: runwayml/stable-diffusion-v1-5 |
| | library_name: diffusers |
| | license: creativeml-openrail-m |
| | tags: |
| | - text-to-image |
| | - diffusers |
| | - lora |
| | - diffusers-training |
| | - stable-diffusion |
| | - stable-diffusion-diffusers |
| | - text-to-image |
| | - diffusers |
| | - lora |
| | - diffusers-training |
| | - stable-diffusion |
| | - stable-diffusion-diffusers |
| | inference: true |
| | instance_prompt: India |
| | --- |
| | |
| | <!-- 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. --> |
| |
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| |
|
| | # LoRA DreamBooth - Narayana30/STABLE_MODEL |
| | |
| | These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on India using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. |
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| | 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] |