Instructions to use Rin247/MOSS-Image-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/MOSS-Image-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rin247/MOSS-Image-Base", 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
Commit History
5 days ago
-
Upload transformer/moss_image_base_int8.safetensors with huggingface_hub
Verified signature0461cee -
Upload transformer/moss_image_base_int4.safetensors with huggingface_hub
Verified signatureb2c5b9f -
Upload transformer/moss_image_base_fp8.safetensors with huggingface_hub
Verified signature4e66ae1 -
Upload transformer/pipeline_moss_image.py with huggingface_hub
Verified signaturea6e0307 -
Upload transformer/moss_image_base_fp4.safetensors with huggingface_hub
Verified signature699ed71 -
Upload transformer/config.json with huggingface_hub
Verified signature36ad292