Instructions to use vanch007/MOSS-Image-SFT-mlx-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vanch007/MOSS-Image-SFT-mlx-bf16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vanch007/MOSS-Image-SFT-mlx-bf16", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - mflux
How to use vanch007/MOSS-Image-SFT-mlx-bf16 with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use vanch007/MOSS-Image-SFT-mlx-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download vanch007/MOSS-Image-SFT-mlx-bf16 --local-dir MOSS-Image-SFT-mlx-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Atomic Chat
Upload transformer/1.safetensors
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transformer/1.safetensors
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