Instructions to use greyDonald/HumanAwareDesignGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greyDonald/HumanAwareDesignGeneration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("greyDonald/HumanAwareDesignGeneration", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 370 Bytes
281c480 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "QwenImage21Transformer2DModel",
"_diffusers_version": "0.37.0.dev0",
"attention_head_dim": 128,
"axes_dims_rope": [
16,
56,
56
],
"context_in_dim": 4096,
"in_channels": 64,
"num_attention_heads": 32,
"num_layers": 32,
"out_channels": 64,
"patch_size": 1,
"mlp_ratio": 3,
"eps": 1e-06,
"causal_condition": true
}
|