Instructions to use dyedd/SD3.5-large-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dyedd/SD3.5-large-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dyedd/SD3.5-large-fp8", 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
Create README.md
Browse files
README.md
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---
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license: other
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base_model:
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- stabilityai/stable-diffusion-3.5-large
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pipeline_tag: text-to-image
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tags:
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- text-to-image
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- stable-diffusion
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- diffusers
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---
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# Model Description
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FP8 quantized version of [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large)
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# License
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The model falls under the [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md) RESEARCH & NON-COMMERCIAL USE LICENSE
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