Total runs:
275.6K
Run Growth:
180.1K
Growth Rate:
65.32%
Sponsored by
PoYo.AI
amd / Nitro-1-SD
Model's Last Updated: June 26 2025
text-to-image
Introduction of Nitro-1-SD
Model Details of Nitro-1-SD
AMD Nitro Diffusion
Introduction
AMD Nitro Diffusion is a series of efficient text-to-image generation models that are distilled from popular diffusion models on AMD Instinct™ GPUs. The release consists of:
- Stable Diffusion 2.1 Nitro : a UNet-based one-step model distilled from Stable Diffusion 2.1 .
- PixArt-Sigma Nitro : a high resolution transformer-based one-step model distilled from PixArt-Sigma .
⚡️ Open-source code ! The models are based on our re-implementation of Latent Adversarial Diffusion Distillation , the method used to build the popular Stable Diffusion 3 Turbo model. Since the original authors didn't provide training code, we release our re-implementation to help advance further research in the field.
Details
- Model architecture : Stable Diffusion 2.1 Nitro has the same architecture as Stable Diffusion 2.1 and is compatible with the diffusers pipeline.
- Inference steps : This model is distilled to perform inference in just a single step. However, the training code also supports distilling a model for 2, 4 or 8 steps.
- Hardware : We use a single node consisting of 4 AMD Instinct™ MI250 GPUs for distilling Stable Diffusion 2.1 Nitro.
- Dataset : We use 1M prompts from DiffusionDB and generate the corresponding images from the base Stable Diffusion 2.1 Nitro model.
- Training cost : The distillation process achieves reasonable results in less than 2 days on a single node.
Quickstart
from diffusers import DDPMScheduler, DiffusionPipeline
import torch
scheduler = DDPMScheduler.from_pretrained("stabilityai/stable-diffusion-2-1-base", subfolder="scheduler")
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", scheduler=scheduler)
ckpt_path = '<path to distilled checkpoint>'
unet_state_dict = torch.load(ckpt_path)
pipe.unet.load_state_dict(unet_state_dict)
pipe = pipe.to("cuda")
image = pipe(prompt='a photo of a cat',
num_inference_steps=1,
guidance_scale=0,
timesteps=[999]).images[0]
For more details on training and evaluation please visit the GitHub repo .
Results
Compared to the Stable Diffusion 2.1 base model , we achieve 95.9% reduction in FLOPs at the cost of just 2.5% lower CLIP score and 2.2% higher FID.
| Model | FID ↓ | CLIP ↑ | FLOPs | Latency on AMD Instinct MI250 (sec) |
|---|---|---|---|---|
| Stable Diffusion 2.1 base, 50 steps (cfg=7.5) | 25.47 | 0.3286 | 83.04 | 4.94 |
| Stable Diffusion 2.1 Nitro , 1 step | 26.04 | 0.3204 | 3.36 | 0.18 |
License
Copyright (c) 2018-2024 Advanced Micro Devices, Inc. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Runs of amd Nitro-1-SD on huggingface.co
849
Total runs
26
24-hour runs
27
3-day runs
163
7-day runs
841
30-day runs
More Information About Nitro-1-SD huggingface.co Model
Url of Nitro-1-SD
Nitro-1-SD huggingface.co Url
Provider of Nitro-1-SD huggingface.co
Other API from amd
Updated:April 14 2026
Total runs:
55.4K
Run Growth:
-31.9K
Growth Rate:
-57.67%
Total runs:
42.6K
Run Growth:
38.6K
Growth Rate:
90.45%
Total runs:
21.5K
Run Growth:
-15.4K
Growth Rate:
-71.79%
Total runs:
19.1K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
18.6K
Run Growth:
11.8K
Growth Rate:
63.50%
Total runs:
18.5K
Run Growth:
18.3K
Growth Rate:
98.82%
Total runs:
16.8K
Run Growth:
5.5K
Growth Rate:
32.66%
Total runs:
13.9K
Run Growth:
13.2K
Growth Rate:
94.93%
Total runs:
13.3K
Run Growth:
7.9K
Growth Rate:
59.33%
Total runs:
13.3K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
12.6K
Run Growth:
11.7K
Growth Rate:
92.77%
Total runs:
11.4K
Run Growth:
-11.6K
Growth Rate:
-101.86%
Total runs:
11.2K
Run Growth:
539
Growth Rate:
4.83%
Total runs:
11.0K
Run Growth:
-2.2K
Growth Rate:
-20.23%
Total runs:
10.5K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
10.0K
Run Growth:
10.0K
Growth Rate:
99.95%
Total runs:
6.7K
Run Growth:
6.6K
Growth Rate:
98.95%
Total runs:
6.0K
Run Growth:
-8.2K
Growth Rate:
-137.15%
Total runs:
4.5K
Run Growth:
-2.3K
Growth Rate:
-50.78%
Total runs:
4.4K
Run Growth:
1.7K
Growth Rate:
39.55%
Total runs:
4.3K
Run Growth:
-280
Growth Rate:
-6.46%
Total runs:
4.0K
Run Growth:
2.7K
Growth Rate:
67.29%
Total runs:
3.1K
Run Growth:
-188
Growth Rate:
-6.04%
Total runs:
2.9K
Run Growth:
-13.0K
Growth Rate:
-446.11%
Total runs:
2.8K
Run Growth:
-186
Growth Rate:
-6.74%
Total runs:
2.7K
Run Growth:
1.6K
Growth Rate:
57.47%
Total runs:
2.6K
Run Growth:
328
Growth Rate:
12.48%
Total runs:
2.3K
Run Growth:
2.3K
Growth Rate:
99.82%
Total runs:
2.2K
Run Growth:
2.2K
Growth Rate:
100.00%
Total runs:
2.1K
Run Growth:
-2.7K
Growth Rate:
-129.44%
Total runs:
2.0K
Run Growth:
-361
Growth Rate:
-17.81%
Total runs:
2.0K
Run Growth:
27
Growth Rate:
1.36%
Total runs:
2.0K
Run Growth:
-291
Growth Rate:
-14.75%
Total runs:
1.7K
Run Growth:
848
Growth Rate:
49.33%
Total runs:
1.7K
Run Growth:
-3.4K
Growth Rate:
-198.41%
Total runs:
1.6K
Run Growth:
-557
Growth Rate:
-33.78%
Total runs:
1.6K
Run Growth:
-5.7K
Growth Rate:
-346.37%
Total runs:
1.6K
Run Growth:
-3.6K
Growth Rate:
-222.28%
Total runs:
1.6K
Run Growth:
1.4K
Growth Rate:
89.10%
Total runs:
1.6K
Run Growth:
-12.4K
Growth Rate:
-790.10%
Total runs:
1.6K
Run Growth:
-75
Growth Rate:
-4.80%
Total runs:
1.5K
Run Growth:
-12.3K
Growth Rate:
-806.50%
Total runs:
1.5K
Run Growth:
1.4K
Growth Rate:
92.00%
Total runs:
1.4K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.4K
Run Growth:
1.3K
Growth Rate:
95.62%
Total runs:
1.4K
Run Growth:
974
Growth Rate:
71.67%
Total runs:
1.3K
Run Growth:
35
Growth Rate:
2.65%
Total runs:
1.3K
Run Growth:
-2.3K
Growth Rate:
-184.70%
Total runs:
1.3K
Run Growth:
-802
Growth Rate:
-63.55%
Total runs:
1.2K
Run Growth:
893
Growth Rate:
72.96%
Total runs:
1.1K
Run Growth:
-7.0K
Growth Rate:
-615.43%
Total runs:
1.1K
Run Growth:
473
Growth Rate:
41.60%
Total runs:
1.1K
Run Growth:
1.1K
Growth Rate:
99.63%
Total runs:
1.1K
Run Growth:
412
Growth Rate:
38.22%
Total runs:
1.0K
Run Growth:
884
Growth Rate:
84.27%
Total runs:
1.0K
Run Growth:
238
Growth Rate:
23.17%
Total runs:
987
Run Growth:
-16.4K
Growth Rate:
-1659.07%
Total runs:
985
Run Growth:
45
Growth Rate:
4.57%
Total runs:
976
Run Growth:
-1.1K
Growth Rate:
-111.07%
Total runs:
951
Run Growth:
706
Growth Rate:
74.24%
Total runs:
951
Run Growth:
-536
Growth Rate:
-56.36%
Total runs:
921
Run Growth:
-1.4K
Growth Rate:
-152.12%
Total runs:
889
Run Growth:
765
Growth Rate:
86.05%
Total runs:
875
Run Growth:
657
Growth Rate:
75.09%
Total runs:
822
Run Growth:
635
Growth Rate:
77.25%
Total runs:
806
Run Growth:
-809
Growth Rate:
-100.37%
Total runs:
794
Run Growth:
-1.9K
Growth Rate:
-233.12%
Total runs:
772
Run Growth:
-1.7K
Growth Rate:
-225.13%
Total runs:
768
Run Growth:
-1.3K
Growth Rate:
-168.49%
Total runs:
759
Run Growth:
759
Growth Rate:
100.00%
Total runs:
759
Run Growth:
-4.5K
Growth Rate:
-593.81%
Total runs:
721
Run Growth:
-4.4K
Growth Rate:
-611.37%
Total runs:
721
Run Growth:
-1.7K
Growth Rate:
-231.90%
Total runs:
703
Run Growth:
-1.7K
Growth Rate:
-236.84%
Total runs:
701
Run Growth:
625
Growth Rate:
89.16%
Total runs:
664
Run Growth:
-364
Growth Rate:
-54.82%
Total runs:
608
Run Growth:
507
Growth Rate:
83.39%
Total runs:
579
Run Growth:
579
Growth Rate:
100.00%
Total runs:
579
Run Growth:
-480
Growth Rate:
-82.90%
Total runs:
577
Run Growth:
440
Growth Rate:
76.26%
Total runs:
572
Run Growth:
427
Growth Rate:
74.65%
Total runs:
543
Run Growth:
526
Growth Rate:
96.87%
Total runs:
480
Run Growth:
-2.3K
Growth Rate:
-487.71%