Instructions to use doge1516/MS-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use doge1516/MS-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("doge1516/MS-Diffusion", 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
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README.md
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# Model
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Download the pretrained base models from [SDXL-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and [CLIP-G]().
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Please refer to our [GitHub repository]() to prepare the environment and get detailed instructions on how to run the model.
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# Model
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Download the pretrained base models from [SDXL-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and [CLIP-G](https://huggingface.co/laion/CLIP-ViT-bigG-14-laion2B-39B-b160k).
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Please refer to our [GitHub repository]() to prepare the environment and get detailed instructions on how to run the model.
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