codeiceman/rice-model2

1---2base_model: stabilityai/stable-diffusion-23library_name: diffusers4license: creativeml-openrail-m5tags:6- text-to-image7- diffusers8- lora9- diffusers-training10- stable-diffusion11- stable-diffusion-diffusers12inference: true13instance_prompt: I want to eat delicious rice or fried rice14---15 16<!-- This model card has been generated automatically according to the information the training script had access to. You17should probably proofread and complete it, then remove this comment. -->18 19 20# LoRA DreamBooth - codeiceman/rice-model221 22These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were trained on I want to eat delicious rice or fried rice using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 23 24![img_0](./image_0.png)25![img_1](./image_1.png)26![img_2](./image_2.png)27![img_3](./image_3.png)28 29 30LoRA for the text encoder was enabled: False.31 32 33## Intended uses & limitations34 35#### How to use36 37```python38# TODO: add an example code snippet for running this diffusion pipeline39```40 41#### Limitations and bias42 43[TODO: provide examples of latent issues and potential remediations]44 45## Training details46 47[TODO: describe the data used to train the model]