Instructions to use schrum2/MarioDiffusion-MiniLM-single-regular0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-MiniLM-single-regular0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("schrum2/MarioDiffusion-MiniLM-single-regular0", 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 pipeline_config.json from schrum2/MarioDiffusion-MiniLM-single-regular0: direct link, hf CLI and curl.
- Browser
- Download file 105 Bytes
-
https://huggingface.co/schrum2/MarioDiffusion-MiniLM-single-regular0/resolve/main/pipeline_config.json
- Command line
-
hf download hf://schrum2/MarioDiffusion-MiniLM-single-regular0/pipeline_config.json
-
curl -L -o pipeline_config.json https://huggingface.co/schrum2/MarioDiffusion-MiniLM-single-regular0/resolve/main/pipeline_config.json
105 Bytes
| {"supports_negative_prompt": false, "supports_pretrained_split": false, "text_encoder_type": "BertModel"} |