Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: UNet2DModel
|
| 4 |
+
tags:
|
| 5 |
+
- stable-diffusion
|
| 6 |
+
- diffusion
|
| 7 |
+
- pytorch
|
| 8 |
+
language:
|
| 9 |
+
- en
|
| 10 |
+
library_name: diffusers
|
| 11 |
+
pipeline_tag: text-to-image
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Name
|
| 15 |
+
|
| 16 |
+
Brief description of what your model does.
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
- **Developed by:** Your Name/Organization
|
| 23 |
+
- **Model type:** Diffusion model
|
| 24 |
+
- **Language(s):** English
|
| 25 |
+
- **License:** Apache 2.0
|
| 26 |
+
- **Finetuned from model:** stabilityai/stable-diffusion-2-1
|
| 27 |
+
|
| 28 |
+
### Model Sources
|
| 29 |
+
|
| 30 |
+
- **Repository:** https://github.com/your-repo
|
| 31 |
+
- **Paper:** Link to paper if applicable
|
| 32 |
+
- **Demo:** Link to demo if available
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
### Direct Use
|
| 37 |
+
|
| 38 |
+
Describe how the model can be used directly.
|
| 39 |
+
|
| 40 |
+
### Downstream Use
|
| 41 |
+
|
| 42 |
+
Describe potential downstream applications.
|
| 43 |
+
|
| 44 |
+
### Out-of-Scope Use
|
| 45 |
+
|
| 46 |
+
Describe uses that are out of scope or misuse of the model.
|
| 47 |
+
|
| 48 |
+
## Bias, Risks, and Limitations
|
| 49 |
+
|
| 50 |
+
Document known biases, risks, and limitations.
|
| 51 |
+
|
| 52 |
+
## How to Get Started with the Model
|
| 53 |
+
|
| 54 |
+
```python
|
| 55 |
+
from diffusers import DDPMPipeline
|
| 56 |
+
|
| 57 |
+
pipeline = DDPMPipeline.from_pretrained({hub_model_id})
|
| 58 |
+
image = pipeline().images[0]
|
| 59 |
+
image
|