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Parent(s): 75d30a7
Update README.md
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README.md
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@@ -3,7 +3,7 @@ license: openrail++
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language:
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- en
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- ja
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tags:
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- stable-diffusion
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- sygil-diffusion
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@@ -19,7 +19,8 @@ pipeline_tag: text-to-image
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This model is a Stable Diffusion v1.5 fine-tune trained on the [Imaginary Network Expanded Dataset](https://github.com/Sygil-Dev/INE-dataset).
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It is an advanced version of Stable Diffusion and can generate nearly all kinds of images like humans, reflections, cities, architecture, fantasy, concepts arts, anime, manga, digital arts, landscapes, or nature views.
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This model allows the user to have total control of the generation as they can use multiple tags and namespaces to control almost everything
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**Note that the prompt engineering techniques is a bit different from other models and Stable Diffusion,
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while you can still use normal prompts like in other Stable Diffusion modelsin order to get the best out of this model you will need to make use of tags and namespaces.
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language:
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- en
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- ja
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- zh
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tags:
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- stable-diffusion
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- sygil-diffusion
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-----------------
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This model is a Stable Diffusion v1.5 fine-tune trained on the [Imaginary Network Expanded Dataset](https://github.com/Sygil-Dev/INE-dataset).
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It is an advanced version of Stable Diffusion and can generate nearly all kinds of images like humans, reflections, cities, architecture, fantasy, concepts arts, anime, manga, digital arts, landscapes, or nature views.
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This model allows the user to have total control of the generation as they can use multiple tags and namespaces to control almost everything
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on the final result including image composition.
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**Note that the prompt engineering techniques is a bit different from other models and Stable Diffusion,
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while you can still use normal prompts like in other Stable Diffusion modelsin order to get the best out of this model you will need to make use of tags and namespaces.
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