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I use bash scripts/run_sample_video.sh, the sh file is: using LWM-Chat-1M-JAX model.
... python3 -u -m lwm.vision_generation \ --prompt='A long big pig is walking across the street' \ --output_file='fireworks.mp4' \ --temperature_image=1.0 \ --temperature_video=1.0 \ --top_k_image=8192 \ --top_k_video=1000 \ --cfg_scale_image=5.0 \ --cfg_scale_video=1.0 \ --vqgan_checkpoint="$vqgan_checkpoint" \ --n_frames=8 \ --mesh_dim='!1,1,2,1' \ --dtype='bf16' \ --load_llama_config='7b' \ --update_llama_config="dict(sample_mode='vision',theta=50000000,max_sequence_length=32768,use_flash_attention=True,scan_attention=False,scan_query_chunk_size=256,scan_key_chunk_size=256,scan_mlp=False,scan_mlp_chunk_size=8192,scan_layers=True)" \ --load_checkpoint="params::$lwm_checkpoint" \ --tokenizer.vocab_file="$llama_tokenizer_path" read
after generation, the output video only first frame has meaningful frame, other frame are all random pixel.
The text was updated successfully, but these errors were encountered:
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I use bash scripts/run_sample_video.sh, the sh file is:
using LWM-Chat-1M-JAX model.
after generation, the output video only first frame has meaningful frame, other frame are all random pixel.
The text was updated successfully, but these errors were encountered: