Instructions to use Deci/DeciDiffusion-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deci/DeciDiffusion-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deci/DeciDiffusion-v1-0", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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@@ -105,11 +105,11 @@ The following tables provide an image latency comparison between DeciDiffusion 1
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DeciDiffusion 1.0 vs. Stable Diffusion v1.5 at FP16 precision
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|Inference Tool + Iterations| DeciDiffusion 1.0 on A10 (seconds/image) | Stable Diffusion v1.5 on A10 (seconds/image) |
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| Infery 50 Iterations | 1.55 |2.08 |
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| Infery 35 Iterations | 1.07 | -|
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| Infery 30 Iterations | 0.98 | - |
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## How to Use
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DeciDiffusion 1.0 vs. Stable Diffusion v1.5 at FP16 precision
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|Inference Tool + Iterations| DeciDiffusion 1.0 on A10 (seconds/image) | Stable Diffusion v1.5 on A10 (seconds/image) |
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| Pytorch 50 Iterations | 2.11 | 2.95 |
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| Infery 50 Iterations | 1.55 |2.08 |
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| Pytorch 35 Iterations | 1.52 |- |
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| Infery 35 Iterations | 1.07 | -|
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| Pytorch 30 Iterations | 1.29 | -|
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| Infery 30 Iterations | 0.98 | - |
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## How to Use
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