Instructions to use CNcreator0331/DomainShuttle_weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CNcreator0331/DomainShuttle_weight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CNcreator0331/DomainShuttle_weight", 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- .DS_Store +0 -0
- high_noise_model/config.json +30 -0
- high_noise_model/diffusion_pytorch_model.safetensors +3 -0
- low_noise_model/config.json +30 -0
.DS_Store
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Binary file (8.2 kB). View file
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high_noise_model/config.json
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{
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"_class_name": "DomainShuttleWanTransformer3DModel",
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"_diffusers_version": "0.30.0",
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"model_type": "r2v",
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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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"text_len": 512,
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"in_dim": 16,
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"dim": 5120,
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"ffn_dim": 13824,
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"freq_dim": 256,
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"text_dim": 4096,
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"out_dim": 16,
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"num_heads": 40,
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"num_layers": 40,
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"window_size": [
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-1,
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-1
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],
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"qk_norm": true,
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"cross_attn_norm": true,
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"eps": 1e-06,
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"in_channels": 16,
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"reference_num": 5,
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"num_domains": 5,
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"boundary": 0.875
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}
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high_noise_model/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba60257aefadd28122f8ffafc16449606f49ee050cd51e4dfba2c6e2a4e38c62
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size 34977844360
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low_noise_model/config.json
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{
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"_class_name": "DomainShuttleWanTransformer3DModel",
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"_diffusers_version": "0.30.0",
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"model_type": "r2v",
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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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"text_len": 512,
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"in_dim": 16,
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"dim": 5120,
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"ffn_dim": 13824,
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"freq_dim": 256,
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"text_dim": 4096,
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"out_dim": 16,
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"num_heads": 40,
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"num_layers": 40,
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"window_size": [
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-1,
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-1
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],
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"qk_norm": true,
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"cross_attn_norm": true,
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"eps": 1e-06,
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"in_channels": 16,
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"reference_num": 5,
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"num_domains": 5,
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"boundary": 0.875
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}
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