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
File size: 487 Bytes
71dfda9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_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
}
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