Instructions to use hf-internal-testing/tiny-pan2-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-pan2-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-pan2-modular-pipe", 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
0c0c1cf | 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": "PAN2Transformer3DModel",
"_diffusers_version": "0.41.0.dev0",
"attention_head_dim": 16,
"context_mlp_ratio": 2.0,
"in_channels": 97,
"mlp_ratio": 2.0,
"num_attention_heads": 2,
"num_layers": 2,
"num_refiner_layers": 1,
"out_channels": 48,
"patch_size": [
1,
2,
2
],
"refiner_mlp_ratio": 2.0,
"rope_axes_dim": [
4,
6,
6
],
"rope_temporal_scale": 0.6666666666666666,
"rope_theta": 256.0,
"text_embed_dim": 32
}
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