Instructions to use microsoft/Lens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use microsoft/Lens with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/Lens", 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
- Draw Things
- DiffusionBee
File size: 458 Bytes
b88e057 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"_class_name": "LensTransformer2DModel",
"_diffusers_version": "0.37.1",
"attention_head_dim": 64,
"axes_dims_rope": [
8,
28,
28
],
"enc_hidden_dim": 2880,
"gate_mlp": true,
"in_channels": 128,
"inner_dim": 1536,
"multi_layer_encoder_feature": true,
"num_attention_heads": 24,
"num_layers": 48,
"out_channels": 32,
"patch_size": 2,
"rms_norm": true,
"selected_layer_index": [
5,
11,
17,
23
]
}
|