Picasso is an open-source artificial intelligence project that generates images from natural language text descriptions. With Picasso, users can express their ideas using text, and the AI system transforms those words into visual art.
- Generate images from textual descriptions.
- Creative and imaginative text-to-image transformation.
- User-friendly interface for easy interaction.
- [Optional] Advanced customization and style options.
- Google account
- Drive Storage: Min. 10GB
- Ngrok authtoken
COLLAB
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Download all the files
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Create a Folder named "Models" and Upload all the files to that folder
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Now add these two files to that folder:
SD 1.5: https://drive.google.com/file/d/1dm7eFjXb5S1WSMoyr8bVEZv3WWdos4Ru/view?usp=drive_link SD 2: https://drive.google.com/file/d/1DUxAxG3Q4qEGjiuXXy7TUT0fB92U4x3Y/view?usp=drive_link
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Replace auth token:
!./ngrok authtoken "your authtoken"
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Run the the "Server.ipynb" file in Google Collab
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Changed the runtime to GPU
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Click to Run All
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Scroll Down to the end
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Click on the Link
* Running on "Click on this link"
- Launch the Picasso app.
- Enter a descriptive text in the input field.
- Press the "Generate" button to create an image based on your description.
- Explore the artistic interpretations and share or save the generated images.
TextArtify uses Firebase for authentication and backend services. To configure Firebase, follow these steps:
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Create a Firebase project on the Firebase Console.
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Add your Firebase configuration to the
lib/main.dart
file:await Firebase.initializeApp( options: FirebaseOptions( apiKey: 'your_api_key', authDomain: 'your_project_id.firebaseapp.com', databaseURL: 'https://your_project_id.firebaseio.com', projectId: 'your_project_id', storageBucket: 'your_project_id.appspot.com', messagingSenderId: 'your_messaging_sender_id', appId: 'your_app_id', ), );
We welcome contributions from the community. If you'd like to contribute to Picasso, please follow our Contributing Guidelines.
Picasso is released under the MIT License.
- We thank the open-source community and the contributors for making this project possible.
- Special thanks to Stable Diffusion for the core text-to-image generation technology.
If you have any questions or suggestions, please contact us at [email protected].