Instructions to use jianqunZ/SD3_1H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jianqunZ/SD3_1H with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jianqunZ/SD3_1H", 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
添加文件: random_states_0.pkl
Browse files- random_states_0.pkl +3 -0
random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c913ed60d05efd56858c3bb891cc005ba74b1234fa04e675ffc33c1d961eb81d
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size 15124
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