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/video_preprocessor_config.json from ChrisColeTech/Mage-Flow: direct link, hf CLI and curl.
- Browser
- Download file 385 Bytes
-
https://huggingface.co/ChrisColeTech/Mage-Flow/resolve/main/split/text_encoder/video_preprocessor_config.json
- Command line
-
hf download hf://ChrisColeTech/Mage-Flow/split/text_encoder/video_preprocessor_config.json
-
curl -L -o video_preprocessor_config.json https://huggingface.co/ChrisColeTech/Mage-Flow/resolve/main/split/text_encoder/video_preprocessor_config.json
385 Bytes
| { | |
| "size": { | |
| "longest_edge": 25165824, | |
| "shortest_edge": 4096 | |
| }, | |
| "patch_size": 16, | |
| "temporal_patch_size": 2, | |
| "merge_size": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "processor_class": "Qwen3VLProcessor", | |
| "video_processor_type": "Qwen3VLVideoProcessor" | |
| } |