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https://github.com/comfyanonymous/ComfyUI.git
synced 2026-07-21 13:58:15 +08:00
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8 Commits
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c7b70b6cd9
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40a25de926 |
@ -4,12 +4,12 @@ early_access: false
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tone_instructions: "Only comment on issues introduced by this PR's changes. Do not flag pre-existing problems in moved, re-indented, or reformatted code."
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reviews:
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profile: "chill"
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request_changes_workflow: false
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profile: "assertive"
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request_changes_workflow: true
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high_level_summary: false
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poem: false
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review_status: false
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review_details: false
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review_details: true
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commit_status: true
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collapse_walkthrough: true
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changed_files_summary: false
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@ -39,6 +39,14 @@ reviews:
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- path: "**"
|
||||
instructions: |
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||||
IMPORTANT: Only comment on issues directly introduced by this PR's code changes.
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||||
Treat AGENTS.md as mandatory repository policy, not optional style guidance.
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||||
Flag PR changes that violate AGENTS.md even when the code is otherwise functional.
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||||
In particular, enforce architecture boundaries, dtype/device/memory rules,
|
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interface contracts, import style, no unnecessary try/except blocks, no inline
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imports, no outbound internet paths in core ComfyUI, and narrow scoped fixes.
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Prefer direct findings over suggestions when a rule is violated. Only ignore
|
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AGENTS.md when it clearly conflicts with a newer explicit maintainer instruction
|
||||
in the PR.
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||||
Do NOT flag pre-existing issues in code that was merely moved, re-indented,
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||||
de-indented, or reformatted without logic changes. If code appears in the diff
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||||
only due to whitespace or structural reformatting (e.g., removing a `with:` block),
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@ -123,5 +131,10 @@ chat:
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knowledge_base:
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opt_out: false
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code_guidelines:
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enabled: true
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filePatterns:
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- files: "AGENTS.md"
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applyTo: "**"
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learnings:
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scope: "auto"
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@ -82,7 +82,7 @@ class UserManager():
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path = user_root
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# prevent leaving /{type}
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if os.path.commonpath((root_dir, user_root)) != root_dir:
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if not folder_paths.is_path_within_directory(user_root, root_dir):
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return None
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if file is not None:
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@ -92,7 +92,7 @@ class UserManager():
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# prevent leaving /{type}/{user}
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path = os.path.abspath(os.path.join(user_root, file))
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if os.path.commonpath((user_root, path)) != user_root:
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if not folder_paths.is_path_within_directory(path, user_root):
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return None
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parent = os.path.split(path)[0]
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@ -425,7 +425,10 @@ def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=No
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try:
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if os.path.commonpath((embed_dir, embed_path)) != embed_dir:
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continue
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except:
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except ValueError:
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# On Windows, commonpath raises ValueError when paths are
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# on different drives. The embedding is clearly not inside
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# this directory, so skip it.
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continue
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if not os.path.isfile(embed_path):
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extensions = ['.safetensors', '.pt', '.bin']
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@ -543,18 +546,24 @@ class SDTokenizer:
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def _try_get_embedding(self, embedding_name:str):
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'''
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Takes a potential embedding name and tries to retrieve it.
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Returns a Tuple consisting of the embedding and any leftover string, embedding can be None.
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Returns a Tuple consisting of the embedding, the cleaned embedding name, and any leftover string, embedding can be None.
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'''
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split_embed = embedding_name.split()
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embedding_name = split_embed[0]
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leftover = ' '.join(split_embed[1:])
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match = re.search(r'[<\[]', embedding_name)
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if match is not None:
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leftover = embedding_name[match.start():] + (" " + leftover if leftover else "")
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embedding_name = embedding_name[:match.start()]
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embed = load_embed(embedding_name, self.embedding_directory, self.embedding_size, self.embedding_key)
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if embed is None:
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stripped = embedding_name.strip(',')
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if len(stripped) < len(embedding_name):
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embed = load_embed(stripped, self.embedding_directory, self.embedding_size, self.embedding_key)
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return (embed, "{} {}".format(embedding_name[len(stripped):], leftover))
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return (embed, leftover)
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return (embed, embedding_name, "{} {}".format(embedding_name[len(stripped):], leftover))
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return (embed, embedding_name, leftover)
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def pad_tokens(self, tokens, amount):
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if self.pad_left:
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@ -585,7 +594,7 @@ class SDTokenizer:
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tokens = []
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for weighted_segment, weight in parsed_weights:
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to_tokenize = unescape_important(weighted_segment)
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split = re.split(' {0}|\n{0}'.format(self.embedding_identifier), to_tokenize)
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split = re.split(r'(?<=\s){}'.format(re.escape(self.embedding_identifier)), to_tokenize)
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to_tokenize = [split[0]]
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for i in range(1, len(split)):
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to_tokenize.append("{}{}".format(self.embedding_identifier, split[i]))
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@ -595,7 +604,7 @@ class SDTokenizer:
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# if we find an embedding, deal with the embedding
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if word.startswith(self.embedding_identifier) and self.embedding_directory is not None:
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embedding_name = word[len(self.embedding_identifier):].strip('\n')
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embed, leftover = self._try_get_embedding(embedding_name)
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embed, embedding_name, leftover = self._try_get_embedding(embedding_name)
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if embed is None:
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logging.warning(f"warning, embedding:{embedding_name} does not exist, ignoring")
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else:
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@ -937,22 +937,41 @@ class BaseGenerate:
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return torch.argmax(logits, dim=-1, keepdim=True)
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# Sampling mode
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if repetition_penalty != 1.0:
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for i in range(logits.shape[0]):
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for token_id in set(token_history):
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logits[i, token_id] *= repetition_penalty if logits[i, token_id] < 0 else 1/repetition_penalty
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if presence_penalty is not None and presence_penalty != 0.0:
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for i in range(logits.shape[0]):
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for token_id in set(token_history):
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logits[i, token_id] -= presence_penalty
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if len(token_history) > 0 and (repetition_penalty != 1.0 or (presence_penalty is not None and presence_penalty != 0.0)):
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token_ids = torch.tensor(list(set(token_history)), device=logits.device)
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token_logits = logits[:, token_ids]
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if repetition_penalty != 1.0:
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token_logits = torch.where(token_logits < 0, token_logits * repetition_penalty, token_logits / repetition_penalty)
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if presence_penalty is not None and presence_penalty != 0.0:
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token_logits = token_logits - presence_penalty
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logits[:, token_ids] = token_logits
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if temperature != 1.0:
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logits = logits / temperature
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if top_k > 0:
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indices_to_remove = logits < torch.topk(logits, top_k)[0][..., -1, None]
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logits[indices_to_remove] = torch.finfo(logits.dtype).min
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top_k = min(top_k, logits.shape[-1])
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logits, top_indices = torch.topk(logits, top_k)
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if min_p > 0.0:
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probs_before_filter = torch.nn.functional.softmax(logits, dim=-1)
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top_probs, _ = probs_before_filter.max(dim=-1, keepdim=True)
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min_threshold = min_p * top_probs
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indices_to_remove = probs_before_filter < min_threshold
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logits[indices_to_remove] = torch.finfo(logits.dtype).min
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if top_p < 1.0:
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sorted_logits, sorted_indices = torch.sort(logits, descending=True)
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cumulative_probs = torch.cumsum(torch.nn.functional.softmax(sorted_logits, dim=-1), dim=-1)
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sorted_indices_to_remove = cumulative_probs > top_p
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sorted_indices_to_remove[..., 0] = False
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indices_to_remove = torch.zeros_like(logits, dtype=torch.bool)
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indices_to_remove.scatter_(1, sorted_indices, sorted_indices_to_remove)
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logits[indices_to_remove] = torch.finfo(logits.dtype).min
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probs = torch.nn.functional.softmax(logits, dim=-1)
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next_token = torch.multinomial(probs, num_samples=1, generator=generator)
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return top_indices.gather(1, next_token)
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if min_p > 0.0:
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probs_before_filter = torch.nn.functional.softmax(logits, dim=-1)
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@ -9,6 +9,7 @@ from typing import Any
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import folder_paths
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logger = logging.getLogger(__name__)
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_SENSITIVE_HEADERS = {"authorization", "x-api-key"}
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||||
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def get_log_directory():
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@ -73,6 +74,10 @@ def _format_data_for_logging(data: Any) -> str:
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return str(data)
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|
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|
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def _redact_headers(headers: dict) -> dict:
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return {k: ("***" if k.lower() in _SENSITIVE_HEADERS else v) for k, v in headers.items()}
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def log_request_response(
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operation_id: str,
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request_method: str,
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@ -101,7 +106,7 @@ def log_request_response(
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log_content.append(f"Method: {request_method}")
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log_content.append(f"URL: {request_url}")
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if request_headers:
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log_content.append(f"Headers:\n{_format_data_for_logging(request_headers)}")
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log_content.append(f"Headers:\n{_format_data_for_logging(_redact_headers(request_headers))}")
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if request_params:
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log_content.append(f"Params:\n{_format_data_for_logging(request_params)}")
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if request_data is not None:
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@ -16,23 +16,30 @@ class ColorToRGBInt(io.ComfyNode):
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],
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outputs=[
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io.Int.Output(display_name="rgb_int"),
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io.Color.Output(display_name="hex")
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io.Color.Output(display_name="hex"),
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io.Float.Output(display_name="alpha"),
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],
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)
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@classmethod
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def execute(cls, color: str) -> io.NodeOutput:
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# expect format #RRGGBB
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if len(color) != 7 or color[0] != "#":
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raise ValueError("Color must be in format #RRGGBB")
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# expect format #RRGGBB or #RRGGBBAA
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if len(color) not in (7, 9) or color[0] != "#":
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raise ValueError("Color must be in format #RRGGBB or #RRGGBBAA")
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try:
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int(color[1:], 16)
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except ValueError:
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raise ValueError("Color must be in format #RRGGBB") from None
|
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raise ValueError("Color must be in format #RRGGBB or #RRGGBBAA") from None
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alpha = 1.0
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if len(color) == 9:
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alpha = int(color[7:9], 16) / 255.0
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color = color[:7]
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r, g, b = hex_to_rgb(color)
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rgb_int = r * 256 * 256 + g * 256 + b
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return io.NodeOutput(rgb_int, color)
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return io.NodeOutput(rgb_int, color, alpha)
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class ColorExtension(ComfyExtension):
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@ -9,6 +9,30 @@ from comfy.cli_args import args
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supported_pt_extensions: set[str] = {'.ckpt', '.pt', '.pt2', '.bin', '.pth', '.safetensors', '.pkl', '.sft'}
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def is_path_within_directory(path: str, directory: str) -> bool:
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"""Check whether 'path' is located inside 'directory'.
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This is a safe replacement for the pattern::
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os.path.commonpath((directory, path)) == directory
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which raises ``ValueError`` on Windows when the two paths reside on
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different drives (e.g. ``C:\\`` vs ``D:\\``). When the drives differ the
|
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path is clearly **not** inside the directory, so we return ``False``
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instead of letting the exception propagate.
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Both arguments are normalised with ``os.path.abspath`` before comparison.
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"""
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try:
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return os.path.commonpath((os.path.abspath(path), os.path.abspath(directory))) == os.path.abspath(directory)
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except ValueError:
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# On Windows, commonpath raises ValueError when paths are on
|
||||
# different drives. Different drives means the path is not
|
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# within the directory.
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return False
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||||
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folder_names_and_paths: dict[str, tuple[list[str], set[str]]] = {}
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# --base-directory - Resets all default paths configured in folder_paths with a new base path
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@ -526,11 +550,10 @@ def get_save_image_path(filename_prefix: str, output_dir: str, image_width=0, im
|
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|
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full_output_folder = os.path.join(output_dir, subfolder)
|
||||
|
||||
if os.path.commonpath((output_dir, os.path.abspath(full_output_folder))) != output_dir:
|
||||
if not is_path_within_directory(full_output_folder, output_dir):
|
||||
err = "**** ERROR: Saving image outside the output folder is not allowed." + \
|
||||
"\n full_output_folder: " + os.path.abspath(full_output_folder) + \
|
||||
"\n output_dir: " + output_dir + \
|
||||
"\n commonpath: " + os.path.commonpath((output_dir, os.path.abspath(full_output_folder)))
|
||||
"\n output_dir: " + output_dir
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logging.error(err)
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raise Exception(err)
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
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comfyui-frontend-package==1.45.20
|
||||
comfyui-workflow-templates==0.11.2
|
||||
comfyui-embedded-docs==0.5.6
|
||||
comfyui-embedded-docs==0.5.7
|
||||
torch
|
||||
torchsde
|
||||
torchvision
|
||||
|
||||
@ -409,7 +409,7 @@ class PromptServer():
|
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full_output_folder = os.path.join(upload_dir, os.path.normpath(subfolder))
|
||||
filepath = os.path.abspath(os.path.join(full_output_folder, filename))
|
||||
|
||||
if os.path.commonpath((upload_dir, filepath)) != upload_dir:
|
||||
if not folder_paths.is_path_within_directory(filepath, upload_dir):
|
||||
return web.Response(status=400)
|
||||
|
||||
if not os.path.exists(full_output_folder):
|
||||
@ -487,7 +487,7 @@ class PromptServer():
|
||||
|
||||
if original_ref.get("subfolder", "") != "":
|
||||
full_output_dir = os.path.join(output_dir, original_ref["subfolder"])
|
||||
if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir:
|
||||
if not folder_paths.is_path_within_directory(full_output_dir, output_dir):
|
||||
return web.Response(status=403)
|
||||
output_dir = full_output_dir
|
||||
|
||||
@ -544,7 +544,7 @@ class PromptServer():
|
||||
|
||||
if "subfolder" in request.rel_url.query:
|
||||
full_output_dir = os.path.join(output_dir, request.rel_url.query["subfolder"])
|
||||
if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir:
|
||||
if not folder_paths.is_path_within_directory(full_output_dir, output_dir):
|
||||
return web.Response(status=403)
|
||||
output_dir = full_output_dir
|
||||
|
||||
|
||||
@ -163,3 +163,35 @@ def test_base_path_change_clears_old(set_base_dir):
|
||||
|
||||
for name in ["controlnet", "diffusion_models", "text_encoders"]:
|
||||
assert len(folder_paths.get_folder_paths(name)) == 2
|
||||
|
||||
|
||||
class TestIsPathWithinDirectory:
|
||||
"""Tests for folder_paths.is_path_within_directory."""
|
||||
|
||||
def test_path_inside_directory(self, temp_dir):
|
||||
inner = os.path.join(temp_dir, "sub", "file.txt")
|
||||
assert folder_paths.is_path_within_directory(inner, temp_dir) is True
|
||||
|
||||
def test_path_is_directory_itself(self, temp_dir):
|
||||
assert folder_paths.is_path_within_directory(temp_dir, temp_dir) is True
|
||||
|
||||
def test_path_outside_directory(self, temp_dir):
|
||||
outside = os.path.join(temp_dir, "..", "other")
|
||||
assert folder_paths.is_path_within_directory(outside, temp_dir) is False
|
||||
|
||||
def test_sibling_directory(self, temp_dir):
|
||||
sibling = os.path.join(os.path.dirname(temp_dir), "sibling")
|
||||
assert folder_paths.is_path_within_directory(sibling, temp_dir) is False
|
||||
|
||||
def test_parent_not_within_child(self, temp_dir):
|
||||
parent = os.path.dirname(temp_dir)
|
||||
assert folder_paths.is_path_within_directory(parent, temp_dir) is False
|
||||
|
||||
def test_different_drives_returns_false(self):
|
||||
"""Simulate the Windows cross-drive scenario (issue #1488).
|
||||
|
||||
On non-Windows systems os.path.commonpath won't raise ValueError
|
||||
for these paths, so we mock it to verify the except-branch.
|
||||
"""
|
||||
with patch("folder_paths.os.path.commonpath", side_effect=ValueError("Paths don't have the same drive")):
|
||||
assert folder_paths.is_path_within_directory("D:\\data\\img.png", "C:\\ComfyUI\\output") is False
|
||||
|
||||
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Block a user