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--- |
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license: creativeml-openrail-m |
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language: |
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- en |
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metrics: |
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- code_eval |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- stable-diffusion |
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- text-to-image |
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- diffusers |
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widget: |
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- text: bagan, by Vincent van gogh, highly detailed, highly illustration |
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example_title: Example Prompt 1 |
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- text: >- |
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Establishing shot of a bagan, an epic fantasy, dramatic lighting, |
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cinematic, extremely high detail, photorealistic, cinematic lighting, |
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matte painting, artstation, by simon stalenhag, uncharted 4: a thief's end |
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example_title: Example Prompt 2 |
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- text: >- |
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hyper realistic water color painting, transparent, myanmar bagan ancient |
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city, after raining sense, beautiful cloud, ancient pagoda, some trees, |
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with water splash infront of pagoda, lovely cloud, beautiful golden ratio |
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composition, neutral color, moody image, lots of grey, golden ratio |
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composition, grey and moody, more grey, rule of third, --ar 5:3 --q 0.5 |
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--v 5 |
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base_model: runwayml/stable-diffusion-v1-5 |
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--- |
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### How to create prompt: |
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When we create prompt for bagan, we have to consider 6 keywords. Those are Subject, Medium, Style, Art-sharing website, Resolution, and Additional details. |
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Subject -> What you want to see in the picture is the subject. Not writing enough about the subjects is a common error. |
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Medium -> The medium is the substance that artists work with. Illustration, oil painting, 3D rendering, and photography are a few examples. The impact of Medium is significant because a single keyword can significantly alter the style. |
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Style -> The image's artistic style is referred to as the style. Pop art, impressionist, and surrealist are a few examples. |
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Art-sharing website -> Specialty graphic websites like Deviant Art and Artstation compile a large number of images from various genres. One surefire way to direct the image toward these styles is to use them as a prompt. |
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Resolution -> Resolution represents how sharp and detailed the image is |
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Additional Details -> Sweeteners added to an image are additional details. To give the image a more dystopian and sci-fi feel, we will add those elements. |
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The example prompt for general bagan is: bagan, a creepy and eery Halloween setting, with Jack o lanterns on the street and shadow figures lurking about, dynamic lighting, photorealistic fantasy concept art, stunning visuals, creative, cinematic, ultra detailed, trending on art station, spooky vibe. |
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That prompt gives you the Halloween theme. |
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### Contributors: |
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Main Contributor: [Ye Bhone Lin](https://github.com/Ye-Bhone-Lin) |
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Supervisor: Sa Phyo Thu Htet |
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### Limitation: |
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We can't generate a photo of a human. |
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### Other Work: |
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Note: These other works are not included in this version. |
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In our exploration of image generation, we delve into the architectural marvels of Myanmar, featuring iconic landmarks such as Ananda, Shwezigon, Bupaya and Thatbyinnyu. Each structure stands as a testament to the rich cultural and historical tapestry of the region, captured through the lens of our innovative text-to-image generator, General Bagan and Mraukoo. |
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### References: |
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Wikipedia (2022). Stable Diffusion. Retrieved From: https://en.wikipedia.org/wiki/Stable_Diffusion |
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-Resolution Image Synthesis with Latent Diffusion Models. Retrieved From: https://arxiv.org/abs/2112.10752 |
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Naomi Brown (2022). What is Stable Diffusion and How to Use it. Retrieved From: https://www.fotor.com/blog/what-is-stable-diffusion |
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Mishra, O. (June, 9). Stable Diffusion Explained. Medium. https://medium.com/@onkarmishra/stable-diffusion-explained-1f101284484d |
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