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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
| Date | Stars |
|---|---|
| 2026-07-24 | 2570 |
| 2026-07-25 | 2570 |
| 2026-07-28 | 2570 |
| 2026-07-30 | 2570 |
| 2026-07-31 | 2572 |
| 2026-08-06 | 2572 |
Today
— stars today
This week
+2 stars this week
This month
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Momentum
0.0
growth rate 0.08%/day
<img src="./samples/artificial_intelligence.png" width="250px"></img>
*artificial intelligence*
<img src="./samples/cosmic_love_and_attention.png" width="250px"></img>
*cosmic love and attention*
<img src="./samples/fire_in_the_sky.png" width="250px"></img>
*fire in the sky*
<img src="./samples/a_pyramid_made_of_ice.png" width="250px"></img>
*a pyramid made of ice*
<img src="./samples/a_lonely_house_in_the_woods.png" width="250px"></img>
*a lonely house in the woods*
<img src="./samples/marriage_in_the_mountains.png" width="250px"></img>
*marriage in the mountains*
<img src="./samples/a_lantern_dangling_from_the_tree_in_a_foggy_graveyard.png" width="250px"></img>
*lantern dangling from a tree in a foggy graveyard*
<img src="./samples/a_vivid_dream.png" width="250px"></img>
*a vivid dream*
<img src="./samples/balloons_over_the_ruins_of_a_city.png" width="250px"></img>
*balloons over the ruins of a city*
<img src="./samples/the_death_of_the_lonesome_astronomer.png" width="250px"></img>
*the death of the lonesome astronomer* - by <a href="https://github.com/moirage">moirage</a>
<img src="./samples/the_tragic_intimacy_of_the_eternal_conversation_with_oneself.png" width="250px"></img>
*the tragic intimacy of the eternal conversation with oneself* - by <a href="https://github.com/moirage">moirage</a>
<img src="./samples/demon_fire.png" width="250px"></img>
*demon fire* - by <a href="https://github.com/WiseNat">WiseNat</a>
## Big Sleep
<a href="https://twitter.com/advadnoun">Ryan Murdock</a> has done it again, combining OpenAI's <a href="https://github.com/openai/CLIP">CLIP</a> and the generator from a <a href="https://arxiv.org/abs/1809.11096">BigGAN</a>! This repository wraps up his work so it is easily accessible to anyone who owns a GPU.
You will be able to have the GAN dream up images using natural language with a one-line command in the terminal.
Original notebook [![Open In Colab][colab-badge]][colab-notebook]
Simplified notebook [![Open In Colab][colab-badge]][colab-notebook-2]
User-made notebook with bugfixes and added features, like google drive integration [![Open In Colab][colab-badge]][user-made-colab-notebook]
[user-made-colab-notebook]: <https://colab.research.google.com/drive/1zVHK4t3nXQTsu5AskOOOf3Mc9TnhltUO?usp=sharing>
[colab-notebook]: <https://colab.research.google.com/drive/1NCceX2mbiKOSlAd_o7IU7nA9UskKN5WR?usp=sharing>
[colab-notebook-2]: <https://colab.research.google.com/drive/1MEWKbm-driRNF8PrU7ogS5o3se-ePyPb?usp=sharing>
[colab-badge]: <https://colab.research.google.com/assets/colab-badge.svg>
## Install
```bash
$ pip install big-sleep
```
## Usage
```bash
$ dream "a pyramid made of ice"
```
Images will be saved to wherever the command is invoked
## Advanced
You can invoke this in code with
```python
from big_sleep import Imagine
dream = Imagine(
text = "fire in the sky",
lr = 5e-2,
save_every = 25,
save_progress = True
)
dream()
```
> You can now train more than one phrase using the delimiter "|"
### Train on Multiple Phrases
In this example we train on three phrases:
- `an armchair in the form of pikachu`
- `an armchair imitating pikachu`
- `abstract`
```python
from big_sleep import Imagine
dream = Imagine(
text = "an armchair in the form of pikachu|an armchair imitating pikachu|abstract",
lr = 5e-2,
save_every = 25,
save_progress = True
)
dream()
```
### Penalize certain prompts as well!
In this example we train on the three phrases from before,
**and** *penalize* the phrases:
- `blur`
- `zoom`
```python
from big_sleep import Imagine
dream = Imagine(
text = "an armchair in the form of pikachu|an armchair imitating pikachu|abstract",
text_min = "blur|zoom",
)
dream()
```
You can also set a new text by using the `.set_text(<str>)` command
```python
dream.set_text("a quiet pond underneath the midnight moon")
```
And reset the latents with `.reset()`
```python
dream.reset()
```
To save the progression of images dExcerpt of 5,631 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c5490da68072a2b9, topic:text-to-image, desc:text-to-image, desc:image generation
matched fp:c5490da68072a2b9, topic:deep-learning