Instructions to use ryu2/ddpm-butterflies-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ryu2/ddpm-butterflies-128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ryu2/ddpm-butterflies-128", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
update model card README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,7 @@ language: en
|
|
| 3 |
license: apache-2.0
|
| 4 |
library_name: diffusers
|
| 5 |
tags: []
|
| 6 |
-
datasets:
|
| 7 |
metrics: []
|
| 8 |
---
|
| 9 |
|
|
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
## Model description
|
| 16 |
|
| 17 |
This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library
|
| 18 |
-
on the `
|
| 19 |
|
| 20 |
## Intended uses & limitations
|
| 21 |
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
library_name: diffusers
|
| 5 |
tags: []
|
| 6 |
+
datasets: imagefolder
|
| 7 |
metrics: []
|
| 8 |
---
|
| 9 |
|
|
|
|
| 15 |
## Model description
|
| 16 |
|
| 17 |
This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library
|
| 18 |
+
on the `imagefolder` dataset.
|
| 19 |
|
| 20 |
## Intended uses & limitations
|
| 21 |
|