Upload the concept dtv-pkmn embeds and token

README.md

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+---
+license: mit
+---
+### dtv-pkmn on Stable Diffusion
+This is the `<dtv-pkm2>` 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).
+
+Here is the new concept you will be able to use as a `style`:
+![<dtv-pkm2> 0](https://huggingface.co/sd-concepts-library/dtv-pkmn/resolve/main/concept_images/1.jpeg)
+![<dtv-pkm2> 1](https://huggingface.co/sd-concepts-library/dtv-pkmn/resolve/main/concept_images/0.jpeg)
+![<dtv-pkm2> 2](https://huggingface.co/sd-concepts-library/dtv-pkmn/resolve/main/concept_images/2.jpeg)
+![<dtv-pkm2> 3](https://huggingface.co/sd-concepts-library/dtv-pkmn/resolve/main/concept_images/3.jpeg)
+

learned_embeds.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:891e5c2d7f9dbd6746e5f41ad360866790bf40e854950efc7047ce75ca696cd5
+size 3819

token_identifier.txt

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+<dtv-pkm2>

type_of_concept.txt

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+style