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license: mit
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### rl pkmn TEST on Stable Diffusion
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This is the `<rl-pkmn>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb).
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Here is the new concept you will be able to use as a `style`:
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license: mit
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---
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### rl pkmn TEST on Stable Diffusion
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This is a test for a game inspired style, and I am still learning how to set these things up. Below is a cherry picked result from the prompt
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'<rl-pkmn> styled Portrait of charizard, an orange dragon anthro intimidating pokemon, digital art by eugene de blaas, ross tran, <rl-pkmn> and nasreddine dinet, vibrant color scheme, intricately detailed, in the style of romanticism, cinematic, artstation, greg rutkowski'
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![<rl-pkmn> 0=9](https://i.ibb.co/gZZFWmT/image-2022-09-14-045500477.png)
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This is the `<rl-pkmn>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb).
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Here is the new concept you will be able to use as a `style`:
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