Instructions to use schrum2/MarioDiffusion-MiniLM-multiple-absence0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-MiniLM-multiple-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-MiniLM-multiple-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
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Download README.md from schrum2/MarioDiffusion-MiniLM-multiple-absence0: direct link, hf CLI and curl.
- Browser
- Download file 1.3 kB
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https://huggingface.co/schrum2/MarioDiffusion-MiniLM-multiple-absence0/resolve/main/README.md
- Command line
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hf download hf://schrum2/MarioDiffusion-MiniLM-multiple-absence0/README.md
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curl -L -o README.md https://huggingface.co/schrum2/MarioDiffusion-MiniLM-multiple-absence0/resolve/main/README.md
1.3 kB
| license: mit | |
| Details on the code used to produce and use this model are available at: | |
| https://github.com/schrum2/MarioDiffusion | |
| That repo has instructions to check out this model and apply it to the generation of Super Mario Bros. level scenes. | |
| There is also an interactive GUI for constructing complete levels out of model-generated scenes. | |
| This model makes use of https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1 | |
| as a text embedding model for use with diffusion to generate Mario levels. | |
| Mario scene captions contain multiple period-separated phrases, and this model | |
| embeds each phrase with its own sentence embedding vector for the diffusion | |
| model to use as text conditioning. | |
| This model makes use of absence style captions, which can be difficult to use correctly. | |
| To see a model using sentence-transformers/multi-qa-MiniLM-L6-cos-v1 that | |
| uses regular captions with multiple sentence embeddings, see https://huggingface.co/schrum2/MarioDiffusion-MiniLM-multiple-regular0. | |
| For a model that embeds the entire caption as a single vector, | |
| see https://huggingface.co/schrum2/MarioDiffusion-MiniLM-single-regular0. | |
| To see a model that uses a simple token-based transformer model for text | |
| embedding, see https://huggingface.co/schrum2/MarioDiffusion-MLM-regular0. |