Any-to-Any
Transformers
PyTorch
Safetensors
text-to-image
image-editing
image-understanding
vision-language
multimodal
autoregressive
unified-model
Instructions to use Skywork/Skywork-UniPic-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/Skywork-UniPic-1.5B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/Skywork-UniPic-1.5B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Fix pipeline_tag π€
#2
by merve HF Staff - opened
README.md
CHANGED
|
@@ -1,13 +1,14 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
tags:
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
# π Skywork-UniPic-1.5B
|
|
@@ -103,6 +104,4 @@ python scripts/image_edit.py configs/models/qwen2_5_1_5b_kl16_mar_h.py \
|
|
| 103 |
|
| 104 |
## π License
|
| 105 |
|
| 106 |
-
This model is released under the MIT License.
|
| 107 |
-
|
| 108 |
-
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
tags:
|
| 4 |
+
- text-to-image
|
| 5 |
+
- image-editing
|
| 6 |
+
- image-understanding
|
| 7 |
+
- vision-language
|
| 8 |
+
- multimodal
|
| 9 |
+
- autoregressive
|
| 10 |
+
- unified-model
|
| 11 |
+
pipeline_tag: any-to-any
|
| 12 |
---
|
| 13 |
|
| 14 |
# π Skywork-UniPic-1.5B
|
|
|
|
| 104 |
|
| 105 |
## π License
|
| 106 |
|
| 107 |
+
This model is released under the MIT License.
|
|
|
|
|
|