### Nalita Dreambooth model trained by seranca with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-768 base model

You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts! 

Sample pictures of:
  
  
  
  
  
  
  
  
<dnala> (use that on your prompt) 
![<dnala> 0](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%281%29.jpg)![<dnala> 1](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%282%29.jpg)![<dnala> 2](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%283%29.jpg)![<dnala> 3](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%284%29.jpg)![<dnala> 4](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%285%29.jpg)![<dnala> 5](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%286%29.jpg)![<dnala> 6](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%287%29.jpg)![<dnala> 7](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%288%29.jpg)![<dnala> 8](https://huggingface.co/seranca/nalita/resolve/main/concept_images/%3Cdnala%3E_%289%29.jpg)

{"license": "creativeml-openrail-m", "tags": ["text-to-image"], "widget": [{"text": "<dnala>"}]}
diffusers tensorboard text-to-image license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #tensorboard #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 

### Nalita Dreambooth model trained by seranca with Hugging Face Dreambooth Training Space with the v2-1-768 base model

You run your new concept via 'diffusers' Colab Notebook for Inference. Don't forget to use the concept prompts! 

Sample pictures of:
  
  
  
  
  
  
  
  
<dnala> (use that on your prompt) 
!<dnala> 0!<dnala> 1!<dnala> 2!<dnala> 3!<dnala> 4!<dnala> 5!<dnala> 6!<dnala> 7!<dnala> 8

### Nalita Dreambooth model trained by seranca with Hugging Face Dreambooth Training Space with the v2-1-768 base model

You run your new concept via 'diffusers' Colab Notebook for Inference. Don't forget to use the concept prompts! 

Sample pictures of:
  
  
  
  
  
  
  
  
<dnala> (use that on your prompt) 
!<dnala> 0!<dnala> 1!<dnala> 2!<dnala> 3!<dnala> 4!<dnala> 5!<dnala> 6!<dnala> 7!<dnala> 8
TAGS
#diffusers #tensorboard #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
 ### Nalita Dreambooth model trained by seranca with Hugging Face Dreambooth Training Space with the v2-1-768 base model

You run your new concept via 'diffusers' Colab Notebook for Inference. Don't forget to use the concept prompts! 

Sample pictures of:
  
  
  
  
  
  
  
  
<dnala> (use that on your prompt) 
!<dnala> 0!<dnala> 1!<dnala> 2!<dnala> 3!<dnala> 4!<dnala> 5!<dnala> 6!<dnala> 7!<dnala> 8
TAGS
#diffusers #tensorboard #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
### Nalita Dreambooth model trained by seranca with Hugging Face Dreambooth Training Space with the v2-1-768 base model

You run your new concept via 'diffusers' Colab Notebook for Inference. Don't forget to use the concept prompts! 

Sample pictures of:
  
  
  
  
  
  
  
  
<dnala> (use that on your prompt) 
!<dnala> 0!<dnala> 1!<dnala> 2!<dnala> 3!<dnala> 4!<dnala> 5!<dnala> 6!<dnala> 7!<dnala> 8