Instructions to use OzzyGT/idol_custom_blocks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/idol_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/idol_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
Download modular_config.json from OzzyGT/idol_custom_blocks: direct link, hf CLI and curl.
- Browser
- Download file 156 Bytes
-
https://huggingface.co/OzzyGT/idol_custom_blocks/resolve/main/modular_config.json
- Command line
-
hf download hf://OzzyGT/idol_custom_blocks/modular_config.json
-
curl -L -o modular_config.json https://huggingface.co/OzzyGT/idol_custom_blocks/resolve/main/modular_config.json
156 Bytes
| { | |
| "_class_name": "IdolBlocks", | |
| "_diffusers_version": "0.42.0.dev0", | |
| "auto_map": { | |
| "ModularPipelineBlocks": "modular_blocks_idol.IdolBlocks" | |
| } | |
| } | |