Instructions to use Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Depth", torch_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: 612 Bytes
bde1415 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"_class_name": "HunyuanDiT2DControlNetModel",
"_diffusers_version": "0.30.0.dev0",
"activation_fn": "gelu-approximate",
"attention_head_dim": 88,
"conditioning_channels": 3,
"cross_attention_dim": 1024,
"cross_attention_dim_t5": 2048,
"hidden_size": 1408,
"in_channels": 4,
"learn_sigma": true,
"mlp_ratio": 4.3637,
"norm_type": "layer_norm",
"num_attention_heads": 16,
"num_layers": 40,
"patch_size": 2,
"pooled_projection_dim": 1024,
"sample_size": 128,
"text_len": 77,
"text_len_t5": 256,
"transformer_num_layers": 40,
"use_style_cond_and_image_meta_size": false
}
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