metadata
license: apache-2.0
高分辨率修复 - Kontext 图像编辑 LoRA
模型介绍
本 LoRA 模型是基于 Kontext 模型和 DiffSynth-Studio 训练的 LoRA 模型，使用本模型后，可输入指令 Improve the clarity. 提高图像的清晰度。
模型效果
| 样例 1 | 样例 2 | 样例 3 | |
|---|---|---|---|
| 原图 |  |
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| 生成图 |  |
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| 样例 4 | 样例 5 | 样例 6 (是的，可以处理正常图片) | |
|---|---|---|---|
| 原图 |  |
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| 生成图 |  |
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使用说明
本模型基于框架 DiffSynth-Studio 训练，请先安装
git clone https://github.com/modelscope/DiffSynth-Studio.git
cd DiffSynth-Studio
pip install -e .
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
from PIL import Image
from modelscope import snapshot_download
snapshot_download("DiffSynth-Studio/FLUX.1-Kontext-dev-lora-highresfix", cache_dir="./models")
pipe = FluxImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="black-forest-labs/FLUX.1-Kontext-dev", origin_file_pattern="flux1-kontext-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"),
],
)
pipe.load_lora(pipe.dit, "models/DiffSynth-Studio/FLUX.1-Kontext-dev-lora-highresfix/model.safetensors", alpha=1)
image = Image.open("your_image.jpg")
image = pipe(
prompt="Improve the clarity.",
kontext_images=image,
embedded_guidance=2.5,
seed=0,
)
image.save("output.jpg")