Instructions to use diffusers/FLUX.1-dev-torchao-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-dev-torchao-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/FLUX.1-dev-torchao-int8", 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
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -64,6 +64,7 @@ This checkpoint was created with the following script using "black-forest-labs/F
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import torch
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from diffusers import FluxPipeline
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from diffusers import TorchAoConfig as DiffusersTorchAoConfig
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from transformers import TorchAoConfig as TransformersTorchAoConfig
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import torch
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from diffusers import FluxPipeline
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from diffusers.quantizers import PipelineQuantizationConfig
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from diffusers import TorchAoConfig as DiffusersTorchAoConfig
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from transformers import TorchAoConfig as TransformersTorchAoConfig
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