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Hong Zhang
2026-02-10 19:51:04 +08:00
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docs/en/Model_Details/FLUX.md
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@@ -14,7 +14,7 @@ cd DiffSynth-Studio
pip install -e .
```
For more information about installation, please refer to [Install Dependencies](/docs/en/Pipeline_Usage/Setup.md).
For more information about installation, please refer to [Install Dependencies](../Pipeline_Usage/Setup.md).
## Quick Start
@@ -98,14 +98,14 @@ graph LR;
Special Training Scripts:
* Differential LoRA Training: [doc](/docs/en/Training/Differential_LoRA.md), [code](/examples/flux/model_training/special/differential_training/)
* FP8 Precision Training: [doc](/docs/en/Training/FP8_Precision.md), [code](/examples/flux/model_training/special/fp8_training/)
* Two-stage Split Training: [doc](/docs/en/Training/Split_Training.md), [code](/examples/flux/model_training/special/split_training/)
* End-to-end Direct Distillation: [doc](/docs/en/Training/Direct_Distill.md), [code](/examples/flux/model_training/lora/FLUX.1-dev-Distill-LoRA.sh)
* Differential LoRA Training: [doc](../Training/Differential_LoRA.md), [code](/examples/flux/model_training/special/differential_training/)
* FP8 Precision Training: [doc](../Training/FP8_Precision.md), [code](/examples/flux/model_training/special/fp8_training/)
* Two-stage Split Training: [doc](../Training/Split_Training.md), [code](/examples/flux/model_training/special/split_training/)
* End-to-end Direct Distillation: [doc](../Training/Direct_Distill.md), [code](/examples/flux/model_training/lora/FLUX.1-dev-Distill-LoRA.sh)
## Model Inference
Models are loaded via `FluxImagePipeline.from_pretrained`, see [Loading Models](/docs/en/Pipeline_Usage/Model_Inference.md#loading-models).
Models are loaded via `FluxImagePipeline.from_pretrained`, see [Loading Models](../Pipeline_Usage/Model_Inference.md#loading-models).
Input parameters for `FluxImagePipeline` inference include:
@@ -143,7 +143,7 @@ Input parameters for `FluxImagePipeline` inference include:
* `flex_control_stop`: Flex model control stop timestep.
* `nexus_gen_reference_image`: Nexus-Gen model reference image.
If VRAM is insufficient, please enable [VRAM Management](/docs/en/Pipeline_Usage/VRAM_management.md). We provide recommended low VRAM configurations for each model in the example code, see the table in the "Model Overview" section above.
If VRAM is insufficient, please enable [VRAM Management](../Pipeline_Usage/VRAM_management.md). We provide recommended low VRAM configurations for each model in the example code, see the table in the "Model Overview" section above.
## Model Training
@@ -198,4 +198,4 @@ We have built a sample image dataset for your testing. You can download this dat
modelscope download --dataset DiffSynth-Studio/example_image_dataset --local_dir ./data/example_image_dataset
```
We have written recommended training scripts for each model, please refer to the table in the "Model Overview" section above. For how to write model training scripts, please refer to [Model Training](/docs/en/Pipeline_Usage/Model_Training.md); for more advanced training algorithms, please refer to [Training Framework Detailed Explanation](/docs/Training/).
We have written recommended training scripts for each model, please refer to the table in the "Model Overview" section above. For how to write model training scripts, please refer to [Model Training](../Pipeline_Usage/Model_Training.md); for more advanced training algorithms, please refer to [Training Framework Detailed Explanation](/docs/Training/).