Text-to-Image
Diffusers
Safetensors
English
image-generation
moss-image
modular-diffusers
sdnq
8-bit precision
Instructions to use OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit", 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 text_encoder/config.json from OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit: direct link, hf CLI and curl.
- Browser
- Download file 19.8 kB
-
https://huggingface.co/OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit/resolve/main/text_encoder/config.json
- Command line
-
hf download hf://OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit/text_encoder/config.json
-
curl -L -o config.json https://huggingface.co/OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit/resolve/main/text_encoder/config.json
19.8 kB
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