Instructions to use jiuntian/OneHOI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jiuntian/OneHOI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jiuntian/OneHOI", 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: 303 Bytes
0241bcc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "GroundingEncoder",
"_diffusers_version": "0.35.0.dev0",
"fourier_freq": 32,
"hidden_size": 2048,
"init_logit": -5.0,
"max_hoi_seq": 32,
"mlp_out_std": 0.0003,
"n_roles": 3,
"pos_embed_dim": 32,
"role_embed_dim": 32,
"role_std": 0.02,
"text_encoder_dim": 4096
}
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