Unconditional Image Generation
Transformers
Safetensors
tinyimagegen
feature-extraction
imagegen
unconditional-image
custom_code
Instructions to use fromziro/TinyImageGen-0.6M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fromziro/TinyImageGen-0.6M with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fromziro/TinyImageGen-0.6M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -32,4 +32,10 @@ As stated above, we trained TinyImageGen on 50k images from DataComp for 15 epoc
|
|
| 32 |
|
| 33 |
<p align="left">
|
| 34 |
<img src="assets/sample_x6.png" width="15%" style="border-radius: 6px; margin-right: 10px;">
|
| 35 |
-
</p>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
|
| 33 |
<p align="left">
|
| 34 |
<img src="assets/sample_x6.png" width="15%" style="border-radius: 6px; margin-right: 10px;">
|
| 35 |
+
</p>
|
| 36 |
+
|
| 37 |
+
While the generated outputs are largely incoherent and unidentifiable, this is expected at such a small scale, and we make no claims otherwise.
|
| 38 |
+
|
| 39 |
+
## License
|
| 40 |
+
|
| 41 |
+
Apache 2.0.
|