Instructions to use xiaoma26/neoVTA-plug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaoma26/neoVTA-plug with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xiaoma26/neoVTA-plug", 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
Add files using upload-large-folder tool
Browse files- config.json +36 -0
- diffusion_pytorch_model.safetensors +3 -0
config.json
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{
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"patch_size": [
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1,
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2,
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2
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],
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"num_attention_heads": 24,
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"attention_head_dim": 128,
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"in_channels": 48,
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"out_channels": 48,
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"action_dim": 30,
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"text_dim": 4096,
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"freq_dim": 256,
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"ffn_dim": 14336,
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"num_layers": 30,
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"cross_attn_norm": true,
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"eps": 1e-06,
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"rope_max_seq_len": 1024,
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"pos_embed_seq_len": null,
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"attn_mode": "flex",
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"tactile_in_channels": 3,
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"tactile_num_tokens": 4,
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"tactile_encoder_dim": 256,
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"max_tactile_streams": 4,
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"use_contact_gate": false,
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"contact_gate_layers": 2,
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"contact_gate_heads": 8,
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"contact_gate_stop_grad": true,
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"_use_default_values": [
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"tactile_num_tokens",
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"tactile_encoder_dim",
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"tactile_in_channels"
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],
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"_class_name": "WanTransformer3DModel",
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"_diffusers_version": "0.35.0.dev0"
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}
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a94d9736b8de96dd2bc3ca94a5887d99163966279614fd78be7b07ebb2bd04f1
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size 10275868412
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