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| | license: creativeml-openrail-m |
| | tags: |
| | - text-to-image |
| | - stable-diffusion |
| | --- |
| | ### Cosmo_mom Dreambooth model trained by IsraelSalgado with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook |
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| | Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb) |
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| | Sample pictures of this concept: |
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| | --- |
| | license: creativeml-openrail-m |
| | tags: |
| | - text-to-image |
| | --- |
| | ### My tiny child on Stable Diffusion via Dreambooth |
| | #### model by IsraelSalgado |
| | This your the Stable Diffusion model fine-tuned the bip_logo concept taught to Stable Diffusion with Dreambooth. |
| | It can be used by modifying the `instance_prompt`: **<bebe> bebe** |
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| | You can also train your own concepts and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb). |
| | And you can 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), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts) |
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| | Here are the images used for training this concept: |
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| | Output: |
| | example prompt: bebe with a big tiny cat, Raw Photo, 8k uhd |
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