Text to image generation using stable diffusion / Muhammad Aizaq Azman
The results of a study on the text to image generation using stable diffusion are presented in this publication. The goal of the project was to create a system that could create a real human face based on the user description. The proposed system was developed in 3 phases consists of preliminary pha...
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| Format: | Thesis |
| Language: | English |
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2023
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| Online Access: | https://ir.uitm.edu.my/id/eprint/95673/1/95673.pdf |
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my-uitm-ir.956732024-05-31T01:45:05Z Text to image generation using stable diffusion / Muhammad Aizaq Azman 2023 Azman, Muhammad Aizaq Programming. Rule-based programming. Backtrack programming The results of a study on the text to image generation using stable diffusion are presented in this publication. The goal of the project was to create a system that could create a real human face based on the user description. The proposed system was developed in 3 phases consists of preliminary phase, design and implementation phase, and evaluation phase. The study utilized a dataset that has in LAION-5. The pre-trained model, v1-5-prunned-emaonly in hugging face is used as base model because this project applies transfer learning. The app is designed to be webpage by using the visual studio code. The model is evaluated by using 3 ratio train-test split performance and the highest performance and accuracy is chosen to be the final model. 2023 Thesis https://ir.uitm.edu.my/id/eprint/95673/ https://ir.uitm.edu.my/id/eprint/95673/1/95673.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Ismail @ Abdul Wahab, Zawawi |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Ismail @ Abdul Wahab, Zawawi |
| topic |
Programming Rule-based programming Backtrack programming |
| spellingShingle |
Programming Rule-based programming Backtrack programming Azman, Muhammad Aizaq Text to image generation using stable diffusion / Muhammad Aizaq Azman |
| description |
The results of a study on the text to image generation using stable diffusion are presented in this publication. The goal of the project was to create a system that could create a real human face based on the user description. The proposed system was developed in 3 phases consists of preliminary phase, design and implementation phase, and evaluation phase. The study utilized a dataset that has in LAION-5. The pre-trained model, v1-5-prunned-emaonly in hugging face is used as base model because this project applies transfer learning. The app is designed to be webpage by using the visual studio code. The model is evaluated by using 3 ratio train-test split performance and the highest performance and accuracy is chosen to be the final model. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Azman, Muhammad Aizaq |
| author_facet |
Azman, Muhammad Aizaq |
| author_sort |
Azman, Muhammad Aizaq |
| title |
Text to image generation using stable diffusion / Muhammad Aizaq Azman |
| title_short |
Text to image generation using stable diffusion / Muhammad Aizaq Azman |
| title_full |
Text to image generation using stable diffusion / Muhammad Aizaq Azman |
| title_fullStr |
Text to image generation using stable diffusion / Muhammad Aizaq Azman |
| title_full_unstemmed |
Text to image generation using stable diffusion / Muhammad Aizaq Azman |
| title_sort |
text to image generation using stable diffusion / muhammad aizaq azman |
| granting_institution |
Universiti Teknologi MARA, Terengganu |
| granting_department |
College of Computing, Informatics and Mathematics |
| publishDate |
2023 |
| url |
https://ir.uitm.edu.my/id/eprint/95673/1/95673.pdf |
| _version_ |
1804889968457285632 |