Instructions to use OzzyGT/ming_image_custom_blocks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/ming_image_custom_blocks 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/ming_image_custom_blocks", 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 __init__.py from OzzyGT/ming_image_custom_blocks: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
-
https://huggingface.co/OzzyGT/ming_image_custom_blocks/resolve/main/__init__.py
- Command line
-
hf download hf://OzzyGT/ming_image_custom_blocks/__init__.py
-
curl -L -o __init__.py https://huggingface.co/OzzyGT/ming_image_custom_blocks/resolve/main/__init__.py
0 Bytes