Instructions to use SceneWorks/sd3.5-large-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/sd3.5-large-mlx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SceneWorks/sd3.5-large-mlx", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use SceneWorks/sd3.5-large-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sd3.5-large-mlx SceneWorks/sd3.5-large-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Xet hash:
- 9e6fe429a0ca2dbb23949aa98e4c21748ec0256ef158e8c7fbf45eb42c646762
- Size of remote file:
- 1.39 GB
- SHA256:
- ec310df2af79c318e24d20511b601a591ca8cd4f1fce1d8dff822a356bcdb1f4
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