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README.md
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license: creativeml-openrail-m
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tags:
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- text-to-image
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---
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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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Sample pictures of this concept:
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license: creativeml-openrail-m
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tags:
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- text-to-image
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widget:
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- text: "clayitization "
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---
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### Jak's **Clayitization** Image Pack (SD2.1) for Stable Diffusion
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**clayitization-sd2.1-768px v.1.0**
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*THIS IS FOR SD VERSION 2.1*
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You MUST also include the **clayitization-SD2.1-768px.yaml** file in the same directory as your model file (will be uploaded here for your convenience)
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With this model, other than being trained from SD2.1, you can also mix and match embeddings to your images!
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--------------------
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From the makers of [Woolitize](https://huggingface.co/plasmo/woolitize-768sd1-5), another versatile Jak Texture Pack is available to help unleash your Clay-itivity!
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Trained using 100 (768px) training images, 8000 training steps, 500 Text_Encoder_steps.
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Use Prompt: "**clayitization**" in the beginning of your prompt followed by a word. *No major prompt-crafting needed*.
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Thanks to /u/Jak_TheAI_Artist for creating training images!
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Tips:
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- use fewer prompts to make a more raw clay look (eg. "clayitization, brad pitt" made the image below)
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- change to square for portraits, and rectangle for dioramas
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- add "3d, octane render, intricate details" for more realistic details in the clay
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- use 768 resolution or larger images for best results
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Sample pictures of this concept:
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