Instructions to use johannezz/DiffSensei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johannezz/DiffSensei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johannezz/DiffSensei", 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
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Please see [GitHub repo](https://github.com/jianzongwu/DiffSensei) to get the usage
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Project page: https://jianzongwu.github.io/projects/diffsensei
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Please see [GitHub repo](https://github.com/jianzongwu/DiffSensei) to get the usage
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Project page: https://jianzongwu.github.io/projects/diffsensei
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This repo has 8bit quantized versions of Clip image generator and MLLM
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