ToT - Pytorch
Project description
MultiModal Tree of Thoughts
Multi-Modal Foundation Model -> Deepfloyd iF or stable diffusion -> mmllm -> if
The objective is to implement DALLE-3 where given an input task to generate an image => its fed and enriched by the multimodal llm => passed into image generation
Appreciation
- Lucidrains
- Agorians
Install
pip install mm-tot
Usage
Architecture
Todo
License
MIT
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mm_tot-0.0.4.tar.gz
(6.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mm_tot-0.0.4.tar.gz.
File metadata
- Download URL: mm_tot-0.0.4.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
97a0e32faa230873ee12464c61c16e3238bb841646d4ecbd24300a97a18e2551
|
|
| MD5 |
14e140bf03a5759049eba9310b251249
|
|
| BLAKE2b-256 |
8af3f2db5cc1cbefa7ec98e7cf5090a696fbbdb612f5681b82dbf51cc6a1b591
|
File details
Details for the file mm_tot-0.0.4-py3-none-any.whl.
File metadata
- Download URL: mm_tot-0.0.4-py3-none-any.whl
- Upload date:
- Size: 7.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a208f0682674184705cd9f87faa43178e8636fbd62e6bf918d95c99952adddf4
|
|
| MD5 |
15348cc08ab8a8aa5dca3107c4950c34
|
|
| BLAKE2b-256 |
57a58a48b85b6d6ed6f6c0f81b963faed2e4cc8b34f013df0cb79ba85b5dce7c
|
