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Bump diffusers version (and accelerate, hugginface-hub) #7174

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Oct 28, 2024
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Original file line number Diff line number Diff line change
Expand Up @@ -117,8 +117,6 @@ def _load_from_singlefile(
load_class = load_classes[config.base][config.variant]
except KeyError as e:
raise Exception(f"No diffusers pipeline known for base={config.base}, variant={config.variant}") from e
prediction_type = config.prediction_type.value
upcast_attention = config.upcast_attention

# Without SilenceWarnings we get log messages like this:
# site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
Expand All @@ -129,13 +127,7 @@ def _load_from_singlefile(
# ['text_model.embeddings.position_ids']

with SilenceWarnings():
pipeline = load_class.from_single_file(
config.path,
torch_dtype=self._torch_dtype,
prediction_type=prediction_type,
upcast_attention=upcast_attention,
load_safety_checker=False,
)
pipeline = load_class.from_single_file(config.path, torch_dtype=self._torch_dtype)

if not submodel_type:
return pipeline
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@

import requests
from huggingface_hub import HfApi, configure_http_backend, hf_hub_url
from huggingface_hub.utils._errors import RepositoryNotFoundError, RevisionNotFoundError
from huggingface_hub.errors import RepositoryNotFoundError, RevisionNotFoundError
from pydantic.networks import AnyHttpUrl
from requests.sessions import Session

Expand Down
6 changes: 4 additions & 2 deletions invokeai/backend/util/hotfixes.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
import diffusers
import torch
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.loaders import FromOriginalControlNetMixin
from diffusers.loaders.single_file_model import FromOriginalModelMixin
from diffusers.models.attention_processor import AttentionProcessor, AttnProcessor
from diffusers.models.controlnet import ControlNetConditioningEmbedding, ControlNetOutput, zero_module
from diffusers.models.embeddings import (
Expand Down Expand Up @@ -32,7 +32,9 @@
logger = InvokeAILogger.get_logger(__name__)


class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlNetMixin):
# NOTE(ryand): I'm not the origina author of this code, but for future reference, it appears that this class was copied
# from diffusers in order to add support for the encoder_attention_mask argument.
class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalModelMixin):
"""
A ControlNet model.

Expand Down
6 changes: 3 additions & 3 deletions pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -33,12 +33,12 @@ classifiers = [
]
dependencies = [
# Core generation dependencies, pinned for reproducible builds.
"accelerate==0.30.1",
"accelerate==1.0.1",
"bitsandbytes==0.43.3; sys_platform!='darwin'",
"clip_anytorch==2.6.0", # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
"compel==2.0.2",
"controlnet-aux==0.0.7",
"diffusers[torch]==0.27.2",
"diffusers[torch]==0.31.0",
"gguf==0.10.0",
"invisible-watermark==0.2.0", # needed to install SDXL base and refiner using their repo_ids
"mediapipe>=0.10.7", # needed for "mediapipeface" controlnet model
Expand All @@ -61,7 +61,7 @@ dependencies = [
# Core application dependencies, pinned for reproducible builds.
"fastapi-events==0.11.1",
"fastapi==0.111.0",
"huggingface-hub==0.23.1",
"huggingface-hub==0.26.1",
"pydantic-settings==2.2.1",
"pydantic==2.7.2",
"python-socketio==5.11.1",
Expand Down
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