Instructions to use schrum2/MarioDiffusion-MLM-absence0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-MLM-absence0 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-MLM-absence0", 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 text_encoder/tokenizer.pkl from schrum2/MarioDiffusion-MLM-absence0: direct link, hf CLI and curl.
- Browser
- Download file 534 Bytes
-
https://huggingface.co/schrum2/MarioDiffusion-MLM-absence0/resolve/main/text_encoder/tokenizer.pkl
- Command line
-
hf download hf://schrum2/MarioDiffusion-MLM-absence0/text_encoder/tokenizer.pkl
-
curl -L -o tokenizer.pkl https://huggingface.co/schrum2/MarioDiffusion-MLM-absence0/resolve/main/text_encoder/tokenizer.pkl
534 Bytes
- Xet hash:
- 8518c0bdad8cee95d6928d52762c4c657a7bbd5eae0c5bf8e74c76d2982f4baf
- Size of remote file:
- 534 Bytes
- SHA256:
- 41f1a11a68c29f279d5cff1f6cb07f984c000c45b8a8a8966e026487962f4bc6
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