theluyuan/DiffSynth-Studio
1
0
Fork 0
mirror of https://github.com/modelscope/DiffSynth-Studio.git synced 2026-03-19 06:32:27 +00:00
Code Issues Packages Projects Releases Wiki Activity

support flux.2 klein

Browse Source
This commit is contained in:
Artiprocher
2026-01-19 16:56:14 +08:00
parent ae52d93694
commit b6ccb362b9
18 changed files with 460 additions and 35 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
diffsynth/diffusion/training_module.py
View File

@@ -1,4 +1,4 @@
import torch, json
import torch, json, os
from ..core import ModelConfig, load_state_dict
from ..utils.controlnet import ControlNetInput
from peft import LoraConfig, inject_adapter_in_model
@@ -127,15 +127,29 @@ class DiffusionTrainingModule(torch.nn.Module):
if model_id_with_origin_paths is not None:
model_id_with_origin_paths = model_id_with_origin_paths.split(",")
for model_id_with_origin_path in model_id_with_origin_paths:
model_id, origin_file_pattern = model_id_with_origin_path.split(":")
vram_config = self.parse_vram_config(
fp8=model_id_with_origin_path in fp8_models,
offload=model_id_with_origin_path in offload_models,
device=device
)
model_configs.append(ModelConfig(model_id=model_id, origin_file_pattern=origin_file_pattern, **vram_config))
config = self.parse_path_or_model_id(model_id_with_origin_path)
model_configs.append(ModelConfig(model_id=config.model_id, origin_file_pattern=config.origin_file_pattern, **vram_config))
return model_configs
def parse_path_or_model_id(self, model_id_with_origin_path, default_value=None):
if model_id_with_origin_path is None:
return default_value
elif os.path.exists(model_id_with_origin_path):
return ModelConfig(path=model_id_with_origin_path)
else:
if ":" not in model_id_with_origin_path:
raise ValueError(f"Failed to parse model config: {model_id_with_origin_path}. This is neither a valid path nor in the format of `model_id/origin_file_pattern`.")
split_id = model_id_with_origin_path.rfind(":")
model_id = model_id_with_origin_path[:split_id]
origin_file_pattern = model_id_with_origin_path[split_id + 1:]
return ModelConfig(model_id=model_id, origin_file_pattern=origin_file_pattern)
def switch_pipe_to_training_mode(
self,