Instructions to use vladmandic/Mage-Flow-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/Mage-Flow-4B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/Mage-Flow-4B", 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
| { | |
| "_class_name": "AutoencoderMageVAE", | |
| "_diffusers_version": "0.37.0", | |
| "latent_channels": 128, | |
| "downsample_factor": 16, | |
| "encoder_hidden_size": 384, | |
| "encoder_num_blocks": 21, | |
| "encoder_patch_size": 16, | |
| "encoder_head_size": 768, | |
| "encoder_num_head_blocks": 2, | |
| "decoder_hidden_size": 384, | |
| "decoder_hidden_size_x": 32, | |
| "decoder_num_blocks": 24, | |
| "decoder_num_cond_blocks": 21, | |
| "decoder_bottleneck_dim": 128, | |
| "decoder_patch_size": 16, | |
| "sample_posterior": false | |
| } | |