theluyuan/DiffSynth-Studio
1
0
Fork 0
mirror of https://github.com/modelscope/DiffSynth-Studio.git synced 2026-03-18 22:08:13 +00:00
Code Issues Packages Projects Releases Wiki Activity

refine readme

Browse Source
This commit is contained in:
Artiprocher
2025-07-22 13:22:47 +08:00
parent 2871535f3b
commit ff95c56884
6 changed files with 120 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
examples/flux/model_training/full/FLUX.1-dev-LoRA-Encoder.sh Normal file
View File

@@ -0,0 +1,14 @@
accelerate launch examples/flux/model_training/train.py \
--dataset_base_path data/example_image_dataset \
--dataset_metadata_path data/example_image_dataset/metadata_lora_encoder.csv \
--data_file_keys "image" \
--max_pixels 1048576 \
--dataset_repeat 100 \
--model_id_with_origin_paths "black-forest-labs/FLUX.1-dev:flux1-dev.safetensors,black-forest-labs/FLUX.1-dev:text_encoder/model.safetensors,black-forest-labs/FLUX.1-dev:text_encoder_2/,black-forest-labs/FLUX.1-dev:ae.safetensors,DiffSynth-Studio/LoRA-Encoder-FLUX.1-Dev:model.safetensors" \
--learning_rate 1e-5 \
--num_epochs 1 \
--remove_prefix_in_ckpt "pipe.lora_encoder." \
--output_path "./models/train/FLUX.1-dev-LoRA-Encoder_full" \
--trainable_models "lora_encoder" \
--extra_inputs "lora_encoder_inputs" \
--use_gradient_checkpointing

25
examples/flux/model_training/validate_full/FLUX.1-dev-LoRA-Encoder.py Normal file
View File

@@ -0,0 +1,25 @@
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
from diffsynth import load_state_dict
pipe = FluxImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
ModelConfig(model_id="DiffSynth-Studio/LoRA-Encoder-FLUX.1-Dev", origin_file_pattern="model.safetensors"),
],
)
pipe.enable_lora_magic()
state_dict = load_state_dict("models/train/FLUX.1-dev-LoRA-Encoder_full/epoch-0.safetensors")
pipe.lora_encoder.load_state_dict(state_dict)
lora = ModelConfig(model_id="VoidOc/flux_animal_forest1", origin_file_pattern="20.safetensors")
pipe.load_lora(pipe.dit, lora, hotload=True) # Use `pipe.clear_lora()` to drop the loaded LoRA.
image = pipe(prompt="", seed=0, lora_encoder_inputs=lora)
image.save("image_FLUX.1-dev-LoRA-Encoder_full.jpg")