Instructions to use schrum2/MarioDiffusion-MLM-regular0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-MLM-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-MLM-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 text_encoder/tokenizer.pkl from schrum2/MarioDiffusion-MLM-regular0: direct link, hf CLI and curl.
- Browser
- Download file 527 Bytes
-
https://huggingface.co/schrum2/MarioDiffusion-MLM-regular0/resolve/main/text_encoder/tokenizer.pkl
- Command line
-
hf download hf://schrum2/MarioDiffusion-MLM-regular0/text_encoder/tokenizer.pkl
-
curl -L -o tokenizer.pkl https://huggingface.co/schrum2/MarioDiffusion-MLM-regular0/resolve/main/text_encoder/tokenizer.pkl
527 Bytes
- Xet hash:
- dd825e362d06e19de0fb951d736f2c58c3ffa6a429b7a168bd0482bae2c71b44
- Size of remote file:
- 527 Bytes
- SHA256:
- 2ac0cdb18d67f43461cd296a3d10cbf8a48db3b80297a32cf9ea2e786b253467
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