Instructions to use YiYiXu/a2-distilled-diffusers-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/a2-distilled-diffusers-testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/a2-distilled-diffusers-testing", 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
File size: 457 Bytes
25433d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_class_name": "WanAnimate2Transformer3DModel",
"_diffusers_version": "0.40.0.dev0",
"cross_attn_norm": true,
"dim": 5120,
"eps": 1e-06,
"ffn_dim": 13824,
"freq_dim": 256,
"in_dim": 36,
"num_heads": 40,
"num_layers": 40,
"out_dim": 16,
"patch_size": [
1,
2,
2
],
"refer_offset_h": 0,
"refer_offset_t": 1,
"refer_offset_w": -1,
"refer_stride": 1,
"text_dim": 4096,
"text_len": 512,
"use_img_emb": true
}
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