Instructions to use Efficient-Large-Model/Sana_1600M_512px_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use Efficient-Large-Model/Sana_1600M_512px_diffusers with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://Efficient-Large-Model/Sana_1600M_512px_diffusers") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Notebooks
- Google Colab
- Kaggle
Relicense model under Apache-2.0
Browse files- LICENSE +202 -0
- LICENSE.txt +0 -90
- README.md +2 -1
LICENSE
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the Safe Model to ensure that no content described as Not Safe For Work (NSFW) is
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processed or generated. You shall not use the Work to process or generate NSFW content.
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You are solely responsible for any damages and liabilities arising from your failure to
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adequately filter content in accordance with this section. As used herein, “Not Safe For
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Work” or “NSFW” means content, videos or website pages that contain potentially
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disturbing subject matter, including but not limited to content that is sexually explicit,
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dangerous, hate, or harassment.
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3.5 Patent Claims. If you bring or threaten to bring a patent claim against any Licensor
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(including any claim, cross-claim or counterclaim in a lawsuit) to enforce any patents that
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you allege are infringed by any Work, then your rights under this license from such Licensor
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3.6 Trademarks. This license does not grant any rights to use any Licensor’s or its affiliates’
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names, logos, or trademarks, except as necessary to reproduce the notices described in
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this license.
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3.7 Termination. If you violate any term of this license, then your rights under this license
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(including the grant in Section 2.1) will terminate immediately.
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4. Disclaimer of Warranty.
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THE WORK IS PROVIDED “AS IS” WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
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EITHER EXPRESS OR IMPLIED, INCLUDING WARRANTIES OR CONDITIONS OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE OR NON-INFRINGEMENT.
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YOU BEAR THE RISK OF UNDERTAKING ANY ACTIVITIES UNDER THIS LICENSE.
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5. Limitation of Liability.
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EXCEPT AS PROHIBITED BY APPLICABLE LAW, IN NO EVENT AND UNDER NO LEGAL
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THEORY, WHETHER IN TORT (INCLUDING NEGLIGENCE), CONTRACT, OR OTHERWISE
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SHALL ANY LICENSOR BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY DIRECT,
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INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF OR
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RELATED TO THIS LICENSE, THE USE OR INABILITY TO USE THE WORK (INCLUDING BUT
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NOT LIMITED TO LOSS OF GOODWILL, BUSINESS INTERRUPTION, LOST PROFITS OR DATA,
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THE LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
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README.md
CHANGED
|
@@ -11,6 +11,7 @@ language:
|
|
| 11 |
base_model:
|
| 12 |
- Efficient-Large-Model/Sana_1600M_512px_diffusers
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| 13 |
pipeline_tag: text-to-image
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| 14 |
---
|
| 15 |
<p align="center" style="border-radius: 10px">
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<img src="https://raw.githubusercontent.com/NVlabs/Sana/refs/heads/main/asset/logo.png" width="35%" alt="logo"/>
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@@ -43,7 +44,7 @@ Source code is available at https://github.com/NVlabs/Sana.
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| 43 |
- **Model type:** Linear-Diffusion-Transformer-based text-to-image generative model
|
| 44 |
- **Model size:** 1648M parameters
|
| 45 |
- **Model resolution:** This model is developed to generate 512px based images with multi-scale heigh and width.
|
| 46 |
-
- **License:** [
|
| 47 |
- **Model Description:** This is a model that can be used to generate and modify images based on text prompts.
|
| 48 |
It is a Linear Diffusion Transformer that uses one fixed, pretrained text encoders ([Gemma2-2B-IT](https://huggingface.co/google/gemma-2-2b-it))
|
| 49 |
and one 32x spatial-compressed latent feature encoder ([DC-AE](https://hanlab.mit.edu/projects/dc-ae)).
|
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| 11 |
base_model:
|
| 12 |
- Efficient-Large-Model/Sana_1600M_512px_diffusers
|
| 13 |
pipeline_tag: text-to-image
|
| 14 |
+
license: apache-2.0
|
| 15 |
---
|
| 16 |
<p align="center" style="border-radius: 10px">
|
| 17 |
<img src="https://raw.githubusercontent.com/NVlabs/Sana/refs/heads/main/asset/logo.png" width="35%" alt="logo"/>
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|
| 44 |
- **Model type:** Linear-Diffusion-Transformer-based text-to-image generative model
|
| 45 |
- **Model size:** 1648M parameters
|
| 46 |
- **Model resolution:** This model is developed to generate 512px based images with multi-scale heigh and width.
|
| 47 |
+
- **License:** [Apache License 2.0](./LICENSE). Additional Information: [Gemma Terms of Use | Google AI for Developers](https://ai.google.dev/gemma/terms) for Gemma-2-2B-IT, [Gemma Prohibited Use Policy | Google AI for Developers](https://ai.google.dev/gemma/prohibited_use_policy).
|
| 48 |
- **Model Description:** This is a model that can be used to generate and modify images based on text prompts.
|
| 49 |
It is a Linear Diffusion Transformer that uses one fixed, pretrained text encoders ([Gemma2-2B-IT](https://huggingface.co/google/gemma-2-2b-it))
|
| 50 |
and one 32x spatial-compressed latent feature encoder ([DC-AE](https://hanlab.mit.edu/projects/dc-ae)).
|