Instructions to use weizhou03/SFHunyuanVideo-1.5-Diffusers-480p_t2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weizhou03/SFHunyuanVideo-1.5-Diffusers-480p_t2v with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("weizhou03/SFHunyuanVideo-1.5-Diffusers-480p_t2v", 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
Update transformer/config.json
Browse files- transformer/config.json +1 -1
transformer/config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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"_class_name": "
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"_diffusers_version": "0.36.0.dev0",
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"attention_head_dim": 128,
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"image_embed_dim": 1152,
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{
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"_class_name": "CausalHunyuanVideo15Transformer3DModel",
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"_diffusers_version": "0.36.0.dev0",
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"attention_head_dim": 128,
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"image_embed_dim": 1152,
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