Instructions to use ChrisColeTech/Mage-Flow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChrisColeTech/Mage-Flow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChrisColeTech/Mage-Flow", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download split/text_encoder/tokenizer.json from ChrisColeTech/Mage-Flow: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/ChrisColeTech/Mage-Flow/resolve/main/split/text_encoder/tokenizer.json
- Command line
-
hf download hf://ChrisColeTech/Mage-Flow/split/text_encoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ChrisColeTech/Mage-Flow/resolve/main/split/text_encoder/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.