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---
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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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Or 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)
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---
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- stable-diffusion
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---
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### Froggy Style V1.5
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#### V1.5 Model by TheLastBen
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This model is trained on 11 Midjourney images 512x512, 1300 steps and 300 steps text_encoder (30% because the total steps is low, normally 15%)
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#### Prompts to start with :
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ttdddd , __________, movie, ultra high quality render, high quality graphical details, 8k, volumetric lighting, micro details, (cinematic)
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Negative : bad, low-quality, 3d, game
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The prompt also can be as simple as the instance name : ttdddd and you will still get great results.
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You can also train your own concepts and upload them to the library by using [fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb).
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Test the concept via A1111 Colab :[fast-stable-diffusion-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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