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

support flux any training

Browse Source
This commit is contained in:
Artiprocher
2025-07-08 19:55:27 +08:00
parent 89397c755a
commit 629e9be4ce
29 changed files with 575 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

26
examples/flux/model_training/validate_lora/FLUX.1-dev-IP-Adapter.py Normal file
View File

@@ -0,0 +1,26 @@
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
from PIL import Image
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="InstantX/FLUX.1-dev-IP-Adapter", origin_file_pattern="ip-adapter.bin"),
ModelConfig(model_id="google/siglip-so400m-patch14-384"),
],
)
pipe.load_lora(pipe.dit, "models/train/FLUX.1-dev-IP-Adapter_lora/epoch-4.safetensors", alpha=1)
image = pipe(
prompt="dog,white and brown dog, sitting on wall, under pink flowers",
ipadapter_images=Image.open("data/example_image_dataset/1.jpg"),
height=768, width=768,
seed=0
)
image.save("image_FLUX.1-dev-IP-Adapter_lora.jpg")