Keras
English
#stablediffusion
#renaissance
# finetune
#kerascv
#keras
#tensorflow
#diffusers
#text2image
Instructions to use morj/renaissance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use morj/renaissance with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://morj/renaissance") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -40,7 +40,6 @@ This is a Fine-tuned Stable Diffusion model on a custom dataset of {image, capti
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- [Training Data](#training-data)
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- [Training Procedure](#training-procedure)
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- [Results](#results)
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- [Model Examination](#model-examination)
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- [Environmental Impact](#environmental-impact)
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- [Hardware](#hardware)
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- [Software](#software)
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Please Check out the Github Repo at https://github.com/martingasparyan/Fine-Tune-Stable-Diffusion/wiki
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# Model Examination
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More information needed
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# Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- [Training Data](#training-data)
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- [Training Procedure](#training-procedure)
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- [Results](#results)
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- [Environmental Impact](#environmental-impact)
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- [Hardware](#hardware)
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- [Software](#software)
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Please Check out the Github Repo at https://github.com/martingasparyan/Fine-Tune-Stable-Diffusion/wiki
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# Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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