Spaces:
Runtime error
Runtime error
Commit
·
42d2d5d
1
Parent(s):
f48e6fc
update Demo Env and Acknowledgments
Browse files- docs/description.md +5 -2
docs/description.md
CHANGED
@@ -16,11 +16,14 @@ This demo showcases a lightweight Stable Diffusion model (SDM) for general-purpo
|
|
16 |
- For different images with the same prompt, please change _Random Seed_ in Advanced Settings (because of using the firstly sampled latent code per seed).
|
17 |
|
18 |
### Acknowledgments
|
19 |
-
- We thank [Microsoft for Startups Founders Hub](https://www.microsoft.com/en-us/startups) for
|
|
|
|
|
20 |
- Some demo codes were borrowed from the repo of Stability AI ([stabilityai/stable-diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion)) and AK ([akhaliq/small-stable-diffusion-v0](https://huggingface.co/spaces/akhaliq/small-stable-diffusion-v0)). Thanks!
|
21 |
|
22 |
### Demo Environment
|
23 |
- Regardless of machine types, our compressed model achieves speedups while preserving visually compelling results.
|
|
|
24 |
- [June/30/2023] **Free CPU-basic** (2 vCPU · 16 GB RAM) — 7~10 min slow inference of the original SDM.
|
25 |
- Because free CPU resources are dynamically allocated with other demos, it may take much longer, depending on the server situation.
|
26 |
-
- [May/31/2023] **NVIDIA T4-small**
|
|
|
16 |
- For different images with the same prompt, please change _Random Seed_ in Advanced Settings (because of using the firstly sampled latent code per seed).
|
17 |
|
18 |
### Acknowledgments
|
19 |
+
- We thank [Microsoft for Startups Founders Hub](https://www.microsoft.com/en-us/startups) for generously providing the Azure credits used during pretraining.
|
20 |
+
- We appreciate the pioneering research on Latent/Stable Diffusion conducted by [CompVis](https://github.com/CompVis/latent-diffusion), [Runway](https://runwayml.com/), and [Stability AI](https://stability.ai/).
|
21 |
+
- Special thanks to the contributors to [LAION](https://laion.ai/), [Diffusers](https://github.com/huggingface/diffusers), and [Gradio](https://www.gradio.app/) for their valuable support.
|
22 |
- Some demo codes were borrowed from the repo of Stability AI ([stabilityai/stable-diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion)) and AK ([akhaliq/small-stable-diffusion-v0](https://huggingface.co/spaces/akhaliq/small-stable-diffusion-v0)). Thanks!
|
23 |
|
24 |
### Demo Environment
|
25 |
- Regardless of machine types, our compressed model achieves speedups while preserving visually compelling results.
|
26 |
+
- [July/27/2023] **NVIDIA T4-small** (4 vCPU · 15 GB RAM · 16GB VRAM) — 5~10 sec inference of the original SDM (for a 512×512 image with 25 denoising steps).
|
27 |
- [June/30/2023] **Free CPU-basic** (2 vCPU · 16 GB RAM) — 7~10 min slow inference of the original SDM.
|
28 |
- Because free CPU resources are dynamically allocated with other demos, it may take much longer, depending on the server situation.
|
29 |
+
- [May/31/2023] **NVIDIA T4-small**
|