Zengtudor/Wan2.1
1
0
Fork 0
mirror of https://github.com/Wan-Video/Wan2.1.git synced 2025-11-04 14:16:57 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Fixes

Browse Source
This commit is contained in:
DeepBeepMeep 2025-05-17 02:30:36 +02:00
parent 9e722883ba
commit 246f23e6f5
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
wgp.py
View File

@ -1930,7 +1930,7 @@ def download_models(transformer_filename):
model_def = {
"repoId" : "DeepBeepMeep/HunyuanVideo",
"sourceFolderList" : [ "llava-llama-3-8b", "clip_vit_large_patch14", "" ],
"fileList" :[ ["config.json", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json", "preprocessor_config.json"] + computeList(text_encoder_filename) , ["config.json", "model.safetensors", "preprocessor_config.json", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json", "vocab.json"], [ "hunyuan_video_720_quanto_int8_map.json", "hunyuan_video_custom_VAE_fp32.safetensors", "hunyuan_video_custom_VAE_config.json", "hunyuan_video_VAE_fp32.safetensors", "hunyuan_video_VAE_config.json" , "hunyuan_video_720_quanto_int8_map.json" ] + computeList(transformer_filename) ]
"fileList" :[ ["config.json", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json", "preprocessor_config.json"] + computeList(text_encoder_filename) , ["config.json", "merges.txt", "model.safetensors", "preprocessor_config.json", "special_tokens_map.json", "tokenizer.json", "tokenizer_config.json", "vocab.json"], [ "hunyuan_video_720_quanto_int8_map.json", "hunyuan_video_custom_VAE_fp32.safetensors", "hunyuan_video_custom_VAE_config.json", "hunyuan_video_VAE_fp32.safetensors", "hunyuan_video_VAE_config.json" , "hunyuan_video_720_quanto_int8_map.json" ] + computeList(transformer_filename) ]
}
else:
@ -2307,7 +2307,7 @@ def apply_changes( state,
reload_needed = True
model_choice = generate_dropdown_model_list()
header = generate_header(transformer_filename, compile=compile, attention_mode= attention_mode)
header = generate_header(state["model_filename"], compile=compile, attention_mode= attention_mode)
return "<DIV ALIGN=CENTER>The new configuration has been succesfully applied</DIV>", header, model_choice, gr.update(visible= server_config["enhancer_enabled"] == 1)