Instructions to use maprix/maprix2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maprix/maprix2022 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maprix/maprix2022", dtype=torch.bfloat16, device_map="cuda") prompt = "maprix2022" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from maprix/maprix2022: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/maprix/maprix2022/resolve/main/README.md
- Command line
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hf download hf://maprix/maprix2022/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/maprix/maprix2022/resolve/main/README.md
2.8 kB
metadata
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: maprix2022
maprix2022 Dreambooth model trained by maprix with Hugging Face Dreambooth Training Space with the v1-5 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:



















