Instructions to use KBlueLeaf/MOSS-Image-FP16-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KBlueLeaf/MOSS-Image-FP16-fixed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KBlueLeaf/MOSS-Image-FP16-fixed", 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 Settings
- Draw Things
- DiffusionBee
Download images/base_c_sweep.webp from KBlueLeaf/MOSS-Image-FP16-fixed: direct link, hf CLI and curl.
- Browser
- Download file 127 kB
-
https://huggingface.co/KBlueLeaf/MOSS-Image-FP16-fixed/resolve/main/images/base_c_sweep.webp
- Command line
-
hf download hf://KBlueLeaf/MOSS-Image-FP16-fixed/images/base_c_sweep.webp
-
curl -L -o base_c_sweep.webp https://huggingface.co/KBlueLeaf/MOSS-Image-FP16-fixed/resolve/main/images/base_c_sweep.webp
127 kB

- Xet hash:
- 2c28c912124fba6ae6a43b29307bba0f476c16adad5883de17908bdda9bb403f
- Size of remote file:
- 127 kB
- SHA256:
- 4aff86d0bbc5bb9c14a77df2a01a7b04f671aef6eaebe868a1cf6d320236d353
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