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coderai
Commit 798f03eb authored by Your Name's avatar Your Name
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debug: add debug logging for llm_path

parent 94a8ffc3
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Showing with 20 additions and 16 deletions
coderai
View file @ 798f03eb
......@@ -4689,15 +4689,13 @@ def main():
# Check if it's a Hugging Face model ID, URL, or local path
if is_huggingface_model_id(args.llm_path):
# Download from Hugging Face
cached = get_cached_model_path(args.llm_path)
if cached:
clip_l_path = cached
print(f"Using cached LLM model: {clip_l_path}")
print(f"Attempting to download LLM model from Hugging Face: {args.llm_path}")
cache_dir = get_model_cache_dir()
clip_l_path = download_huggingface_model(args.llm_path, cache_dir, '.gguf')
if clip_l_path:
print(f"Downloaded LLM model to: {clip_l_path}")
else:
cache_dir = get_model_cache_dir()
clip_l_path = download_huggingface_model(args.llm_path, cache_dir, '.gguf')
if clip_l_path:
print(f"Downloaded LLM model to: {clip_l_path}")
print(f"Warning: Failed to download LLM model from Hugging Face, will try as local path")
elif args.llm_path.startswith('http://') or args.llm_path.startswith('https://'):
cached = get_cached_model_path(args.llm_path)
if cached:
......@@ -4737,6 +4735,10 @@ def main():
sd_kwargs = {'diffusion_model_path': model_path}
if clip_l_path:
sd_kwargs['llm_path'] = clip_l_path
print(f"DEBUG: Adding llm_path to sd_kwargs: {clip_l_path}")
else:
print(f"DEBUG: clip_l_path is None or empty, not adding to sd_kwargs")
print(f"DEBUG: args.llm_path = {args.llm_path}")
if args.vae_path:
sd_kwargs['vae_path'] = vae_path
elif vae_path:
......@@ -5181,15 +5183,13 @@ def main():
# Check if it's a Hugging Face model ID, URL, or local path
if is_huggingface_model_id(args.llm_path):
# Download from Hugging Face
cached = get_cached_model_path(args.llm_path)
if cached:
clip_l_path = cached
print(f"Using cached LLM model: {clip_l_path}")
print(f"Attempting to download LLM model from Hugging Face: {args.llm_path}")
cache_dir = get_model_cache_dir()
clip_l_path = download_huggingface_model(args.llm_path, cache_dir, '.gguf')
if clip_l_path:
print(f"Downloaded LLM model to: {clip_l_path}")
else:
cache_dir = get_model_cache_dir()
clip_l_path = download_huggingface_model(args.llm_path, cache_dir, '.gguf')
if clip_l_path:
print(f"Downloaded LLM model to: {clip_l_path}")
print(f"Warning: Failed to download LLM model from Hugging Face, will try as local path")
elif args.llm_path.startswith('http://') or args.llm_path.startswith('https://'):
cached = get_cached_model_path(args.llm_path)
if cached:
......@@ -5229,6 +5229,10 @@ def main():
sd_kwargs = {'diffusion_model_path': model_path}
if clip_l_path:
sd_kwargs['llm_path'] = clip_l_path
print(f"DEBUG: Adding llm_path to sd_kwargs: {clip_l_path}")
else:
print(f"DEBUG: clip_l_path is None or empty, not adding to sd_kwargs")
print(f"DEBUG: args.llm_path = {args.llm_path}")
if args.vae_path:
sd_kwargs['vae_path'] = vae_path
elif vae_path:
......
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