diff --git a/README.md b/README.md
index b32d3fa..4bb2242 100644
--- a/README.md
+++ b/README.md
@@ -4,11 +4,29 @@
# stable-diffusion.cpp
+
+
+
- 
-
-
-
-
-##### Using Flash Attention
-
-Enabling flash attention for the diffusion model reduces memory usage by varying amounts of MB.
-eg.:
- - flux 768x768 ~600mb
- - SD2 768x768 ~1400mb
-
-For most backends, it slows things down, but for cuda it generally speeds it up too.
-At the moment, it is only supported for some models and some backends (like cpu, cuda/rocm, metal).
-
-Run by adding `--diffusion-fa` to the arguments and watch for:
-```
-[INFO ] stable-diffusion.cpp:312 - Using flash attention in the diffusion model
-```
-and the compute buffer shrink in the debug log:
-```
-[DEBUG] ggml_extend.hpp:1004 - flux compute buffer size: 650.00 MB(VRAM)
-```
-
-### Run
-
-```
-usage: ./bin/sd [arguments]
-
-arguments:
- -h, --help show this help message and exit
- -M, --mode [MODE] run mode, one of: [img_gen, vid_gen, upscale, convert], default: img_gen
- -t, --threads N number of threads to use during computation (default: -1)
- If threads <= 0, then threads will be set to the number of CPU physical cores
- --offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed
- -m, --model [MODEL] path to full model
- --diffusion-model path to the standalone diffusion model
- --high-noise-diffusion-model path to the standalone high noise diffusion model
- --clip_l path to the clip-l text encoder
- --clip_g path to the clip-g text encoder
- --clip_vision path to the clip-vision encoder
- --t5xxl path to the t5xxl text encoder
- --qwen2vl path to the qwen2vl text encoder
- --qwen2vl_vision path to the qwen2vl vit
- --vae [VAE] path to vae
- --taesd [TAESD_PATH] path to taesd. Using Tiny AutoEncoder for fast decoding (low quality)
- --control-net [CONTROL_PATH] path to control net model
- --embd-dir [EMBEDDING_PATH] path to embeddings
- --upscale-model [ESRGAN_PATH] path to esrgan model. For img_gen mode, upscale images after generate, just RealESRGAN_x4plus_anime_6B supported by now
- --upscale-repeats Run the ESRGAN upscaler this many times (default 1)
- --type [TYPE] weight type (examples: f32, f16, q4_0, q4_1, q5_0, q5_1, q8_0, q2_K, q3_K, q4_K)
- If not specified, the default is the type of the weight file
- --tensor-type-rules [EXPRESSION] weight type per tensor pattern (example: "^vae\.=f16,model\.=q8_0")
- --lora-model-dir [DIR] lora model directory
- -i, --init-img [IMAGE] path to the init image, required by img2img
- --mask [MASK] path to the mask image, required by img2img with mask
- -i, --end-img [IMAGE] path to the end image, required by flf2v
- --control-image [IMAGE] path to image condition, control net
- -r, --ref-image [PATH] reference image for Flux Kontext models (can be used multiple times)
- --control-video [PATH] path to control video frames, It must be a directory path.
- The video frames inside should be stored as images in lexicographical (character) order
- For example, if the control video path is `frames`, the directory contain images such as 00.png, 01.png, 鈥?etc.
- --increase-ref-index automatically increase the indices of references images based on the order they are listed (starting with 1).
- -o, --output OUTPUT path to write result image to (default: ./output.png)
- -p, --prompt [PROMPT] the prompt to render
- -n, --negative-prompt PROMPT the negative prompt (default: "")
- --cfg-scale SCALE unconditional guidance scale: (default: 7.0)
- --img-cfg-scale SCALE image guidance scale for inpaint or instruct-pix2pix models: (default: same as --cfg-scale)
- --guidance SCALE distilled guidance scale for models with guidance input (default: 3.5)
- --slg-scale SCALE skip layer guidance (SLG) scale, only for DiT models: (default: 0)
- 0 means disabled, a value of 2.5 is nice for sd3.5 medium
- --eta SCALE eta in DDIM, only for DDIM and TCD: (default: 0)
- --skip-layers LAYERS Layers to skip for SLG steps: (default: [7,8,9])
- --skip-layer-start START SLG enabling point: (default: 0.01)
- --skip-layer-end END SLG disabling point: (default: 0.2)
- --scheduler {discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform, simple} Denoiser sigma scheduler (default: discrete)
- --sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd}
- sampling method (default: "euler" for Flux/SD3/Wan, "euler_a" otherwise)
- --timestep-shift N shift timestep for NitroFusion models, default: 0, recommended N for NitroSD-Realism around 250 and 500 for NitroSD-Vibrant
- --steps STEPS number of sample steps (default: 20)
- --high-noise-cfg-scale SCALE (high noise) unconditional guidance scale: (default: 7.0)
- --high-noise-img-cfg-scale SCALE (high noise) image guidance scale for inpaint or instruct-pix2pix models: (default: same as --cfg-scale)
- --high-noise-guidance SCALE (high noise) distilled guidance scale for models with guidance input (default: 3.5)
- --high-noise-slg-scale SCALE (high noise) skip layer guidance (SLG) scale, only for DiT models: (default: 0)
- 0 means disabled, a value of 2.5 is nice for sd3.5 medium
- --high-noise-eta SCALE (high noise) eta in DDIM, only for DDIM and TCD: (default: 0)
- --high-noise-skip-layers LAYERS (high noise) Layers to skip for SLG steps: (default: [7,8,9])
- --high-noise-skip-layer-start (high noise) SLG enabling point: (default: 0.01)
- --high-noise-skip-layer-end END (high noise) SLG disabling point: (default: 0.2)
- --high-noise-scheduler {discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform, simple} Denoiser sigma scheduler (default: discrete)
- --high-noise-sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd}
- (high noise) sampling method (default: "euler_a")
- --high-noise-steps STEPS (high noise) number of sample steps (default: -1 = auto)
- SLG will be enabled at step int([STEPS]*[START]) and disabled at int([STEPS]*[END])
- --strength STRENGTH strength for noising/unnoising (default: 0.75)
- --control-strength STRENGTH strength to apply Control Net (default: 0.9)
- 1.0 corresponds to full destruction of information in init image
- -H, --height H image height, in pixel space (default: 512)
- -W, --width W image width, in pixel space (default: 512)
- --rng {std_default, cuda} RNG (default: cuda)
- -s SEED, --seed SEED RNG seed (default: 42, use random seed for < 0)
- -b, --batch-count COUNT number of images to generate
- --prediction {eps, v, edm_v, sd3_flow, flux_flow} Prediction type override
- --clip-skip N ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer (default: -1)
- <= 0 represents unspecified, will be 1 for SD1.x, 2 for SD2.x
- --vae-tiling process vae in tiles to reduce memory usage
- --vae-tile-size [X]x[Y] tile size for vae tiling (default: 32x32)
- --vae-relative-tile-size [X]x[Y] relative tile size for vae tiling, in fraction of image size if < 1, in number of tiles per dim if >=1 (overrides --vae-tile-size)
- --vae-tile-overlap OVERLAP tile overlap for vae tiling, in fraction of tile size (default: 0.5)
- --force-sdxl-vae-conv-scale force use of conv scale on sdxl vae
- --vae-on-cpu keep vae in cpu (for low vram)
- --clip-on-cpu keep clip in cpu (for low vram)
- --diffusion-fa use flash attention in the diffusion model (for low vram)
- Might lower quality, since it implies converting k and v to f16.
- This might crash if it is not supported by the backend.
- --diffusion-conv-direct use Conv2d direct in the diffusion model
- This might crash if it is not supported by the backend.
- --vae-conv-direct use Conv2d direct in the vae model (should improve the performance)
- This might crash if it is not supported by the backend.
- --control-net-cpu keep controlnet in cpu (for low vram)
- --canny apply canny preprocessor (edge detection)
- --color colors the logging tags according to level
- --chroma-disable-dit-mask disable dit mask for chroma
- --chroma-enable-t5-mask enable t5 mask for chroma
- --chroma-t5-mask-pad PAD_SIZE t5 mask pad size of chroma
- --video-frames video frames (default: 1)
- --fps fps (default: 24)
- --moe-boundary BOUNDARY timestep boundary for Wan2.2 MoE model. (default: 0.875)
- only enabled if `--high-noise-steps` is set to -1
- --flow-shift SHIFT shift value for Flow models like SD3.x or WAN (default: auto)
- --vace-strength wan vace strength
- --photo-maker path to PHOTOMAKER model
- --pm-id-images-dir [DIR] path to PHOTOMAKER input id images dir
- --pm-id-embed-path [PATH] path to PHOTOMAKER v2 id embed
- --pm-style-strength strength for keeping PHOTOMAKER input identity (default: 20)
- -v, --verbose print extra info
-```
-
-#### txt2img example
+### Generate an image with just one command
```sh
-./bin/sd -m ../models/sd-v1-4.ckpt -p "a lovely cat"
-# ./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat"
-# ./bin/sd -m ../models/sd_xl_base_1.0.safetensors --vae ../models/sdxl_vae-fp16-fix.safetensors -H 1024 -W 1024 -p "a lovely cat" -v
-# ./bin/sd -m ../models/sd3_medium_incl_clips_t5xxlfp16.safetensors -H 1024 -W 1024 -p 'a lovely cat holding a sign says \"Stable Diffusion CPP\"' --cfg-scale 4.5 --sampling-method euler -v --clip-on-cpu
-# ./bin/sd --diffusion-model ../models/flux1-dev-q3_k.gguf --vae ../models/ae.sft --clip_l ../models/clip_l.safetensors --t5xxl ../models/t5xxl_fp16.safetensors -p "a lovely cat holding a sign says 'flux.cpp'" --cfg-scale 1.0 --sampling-method euler -v --clip-on-cpu
-# ./bin/sd -m ..\models\sd3.5_large.safetensors --clip_l ..\models\clip_l.safetensors --clip_g ..\models\clip_g.safetensors --t5xxl ..\models\t5xxl_fp16.safetensors -H 1024 -W 1024 -p 'a lovely cat holding a sign says \"Stable diffusion 3.5 Large\"' --cfg-scale 4.5 --sampling-method euler -v --clip-on-cpu
+./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat"
```
-Using formats of different precisions will yield results of varying quality.
+***For detailed command-line arguments, check out [cli doc](./examples/cli/README.md).***
-| f32 | f16 |q8_0 |q5_0 |q5_1 |q4_0 |q4_1 |
-| ---- |---- |---- |---- |---- |---- |---- |
-|  | | | | | | |
+## Performance
-#### img2img example
-
-- `./output.png` is the image generated from the above txt2img pipeline
-
-
-```
-./bin/sd -m ../models/sd-v1-4.ckpt -p "cat with blue eyes" -i ./output.png -o ./img2img_output.png --strength 0.4
-```
-
-
- 
-
+If you want to improve performance or reduce VRAM/RAM usage, please refer to [performance guide](./docs/performance.md).
## More Guides
+- [SD1.x/SD2.x/SDXL](./docs/sd.md)
+- [SD3/SD3.5](./docs/sd3.md)
+- [Flux-dev/Flux-schnell](./docs/flux.md)
+- [FLUX.1-Kontext-dev](./docs/kontext.md)
+- [Chroma](./docs/chroma.md)
+- [🔥Qwen Image](./docs/qwen_image.md)
+- [🔥Qwen Image Edit/Qwen Image Edit 2509](./docs/qwen_image_edit.md)
+- [🔥Wan2.1/Wan2.2](./docs/wan.md)
- [LoRA](./docs/lora.md)
- [LCM/LCM-LoRA](./docs/lcm.md)
- [Using PhotoMaker to personalize image generation](./docs/photo_maker.md)
diff --git a/docs/build.md b/docs/build.md
new file mode 100644
index 0000000..02889ca
--- /dev/null
+++ b/docs/build.md
@@ -0,0 +1,173 @@
+# Build from scratch
+
+## Get the Code
+
+```
+git clone --recursive https://github.com/leejet/stable-diffusion.cpp
+cd stable-diffusion.cpp
+```
+
+- If you have already cloned the repository, you can use the following command to update the repository to the latest code.
+
+```
+cd stable-diffusion.cpp
+git pull origin master
+git submodule init
+git submodule update
+```
+
+## Build (CPU only)
+
+If you don't have a GPU or CUDA installed, you can build a CPU-only version.
+
+```shell
+mkdir build && cd build
+cmake ..
+cmake --build . --config Release
+```
+
+## Build with OpenBLAS
+
+```shell
+mkdir build && cd build
+cmake .. -DGGML_OPENBLAS=ON
+cmake --build . --config Release
+```
+
+## Build with CUDA
+
+This provides GPU acceleration using NVIDIA GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager (e.g. `apt install nvidia-cuda-toolkit`) or from here: [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads). Recommended to have at least 4 GB of VRAM.
+
+```shell
+mkdir build && cd build
+cmake .. -DSD_CUDA=ON
+cmake --build . --config Release
+```
+
+## Build with HipBLAS
+
+This provides GPU acceleration using AMD GPU. Make sure to have the ROCm toolkit installed.
+To build for another GPU architecture than installed in your system, set `$GFX_NAME` manually to the desired architecture (replace first command). This is also necessary if your GPU is not officially supported by ROCm, for example you have to set `$GFX_NAME` manually to `gfx1030` for consumer RDNA2 cards.
+
+Windows User Refer to [docs/hipBLAS_on_Windows.md](docs%2FhipBLAS_on_Windows.md) for a comprehensive guide.
+
+```shell
+mkdir build && cd build
+if command -v rocminfo; then export GFX_NAME=$(rocminfo | awk '/ *Name: +gfx[1-9]/ {print $2; exit}'); else echo "rocminfo missing!"; fi
+if [ -z "${GFX_NAME}" ]; then echo "Error: Couldn't detect GPU!"; else echo "Building for GPU: ${GFX_NAME}"; fi
+cmake .. -G "Ninja" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DSD_HIPBLAS=ON -DCMAKE_BUILD_TYPE=Release -DGPU_TARGETS=$GFX_NAME -DAMDGPU_TARGETS=$GFX_NAME -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DCMAKE_POSITION_INDEPENDENT_CODE=ON
+cmake --build . --config Release
+```
+
+## Build with MUSA
+
+This provides GPU acceleration using Moore Threads GPU. Make sure to have the MUSA toolkit installed.
+
+```shell
+mkdir build && cd build
+cmake .. -DCMAKE_C_COMPILER=/usr/local/musa/bin/clang -DCMAKE_CXX_COMPILER=/usr/local/musa/bin/clang++ -DSD_MUSA=ON -DCMAKE_BUILD_TYPE=Release
+cmake --build . --config Release
+```
+
+## Build with Metal
+
+Using Metal makes the computation run on the GPU. Currently, there are some issues with Metal when performing operations on very large matrices, making it highly inefficient at the moment. Performance improvements are expected in the near future.
+
+```shell
+mkdir build && cd build
+cmake .. -DSD_METAL=ON
+cmake --build . --config Release
+```
+
+## Build with Vulkan
+
+Install Vulkan SDK from https://www.lunarg.com/vulkan-sdk/.
+
+```shell
+mkdir build && cd build
+cmake .. -DSD_VULKAN=ON
+cmake --build . --config Release
+```
+
+## Build with OpenCL (for Adreno GPU)
+
+Currently, it supports only Adreno GPUs and is primarily optimized for Q4_0 type
+
+To build for Windows ARM please refers to [Windows 11 Arm64](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/OPENCL.md#windows-11-arm64)
+
+Building for Android:
+
+ Android NDK:
+ Download and install the Android NDK from the [official Android developer site](https://developer.android.com/ndk/downloads).
+
+Setup OpenCL Dependencies for NDK:
+
+You need to provide OpenCL headers and the ICD loader library to your NDK sysroot.
+
+* OpenCL Headers:
+ ```bash
+ # In a temporary working directory
+ git clone https://github.com/KhronosGroup/OpenCL-Headers
+ cd OpenCL-Headers
+ # Replace with your actual NDK installation path
+ # e.g., cp -r CL /path/to/android-ndk-r26c/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include
+ sudo cp -r CL /toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include
+ cd ..
+ ```
+
+* OpenCL ICD Loader:
+ ```shell
+ # In the same temporary working directory
+ git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader
+ cd OpenCL-ICD-Loader
+ mkdir build_ndk && cd build_ndk
+
+ # Replace in the CMAKE_TOOLCHAIN_FILE and OPENCL_ICD_LOADER_HEADERS_DIR
+ cmake .. -G Ninja -DCMAKE_BUILD_TYPE=Release \
+ -DCMAKE_TOOLCHAIN_FILE=/build/cmake/android.toolchain.cmake \
+ -DOPENCL_ICD_LOADER_HEADERS_DIR=/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include \
+ -DANDROID_ABI=arm64-v8a \
+ -DANDROID_PLATFORM=24 \
+ -DANDROID_STL=c++_shared
+
+ ninja
+ # Replace
+ # e.g., cp libOpenCL.so /path/to/android-ndk-r26c/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android
+ sudo cp libOpenCL.so /toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android
+ cd ../..
+ ```
+
+Build `stable-diffusion.cpp` for Android with OpenCL:
+
+```shell
+mkdir build-android && cd build-android
+
+# Replace with your actual NDK installation path
+# e.g., -DCMAKE_TOOLCHAIN_FILE=/path/to/android-ndk-r26c/build/cmake/android.toolchain.cmake
+cmake .. -G Ninja \
+ -DCMAKE_TOOLCHAIN_FILE=/build/cmake/android.toolchain.cmake \
+ -DANDROID_ABI=arm64-v8a \
+ -DANDROID_PLATFORM=android-28 \
+ -DGGML_OPENMP=OFF \
+ -DSD_OPENCL=ON
+
+ninja
+```
+*(Note: Don't forget to include `LD_LIBRARY_PATH=/vendor/lib64` in your command line before running the binary)*
+
+## Build with SYCL
+
+Using SYCL makes the computation run on the Intel GPU. Please make sure you have installed the related driver and [Intel® oneAPI Base toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) before start. More details and steps can refer to [llama.cpp SYCL backend](https://github.com/ggerganov/llama.cpp/blob/master/docs/backend/SYCL.md#linux).
+
+```shell
+# Export relevant ENV variables
+source /opt/intel/oneapi/setvars.sh
+
+# Option 1: Use FP32 (recommended for better performance in most cases)
+cmake .. -DSD_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+
+# Option 2: Use FP16
+cmake .. -DSD_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
+
+cmake --build . --config Release
+```
diff --git a/docs/performance.md b/docs/performance.md
new file mode 100644
index 0000000..0c4735e
--- /dev/null
+++ b/docs/performance.md
@@ -0,0 +1,26 @@
+## Use Flash Attention to save memory and improve speed.
+
+Enabling flash attention for the diffusion model reduces memory usage by varying amounts of MB.
+eg.:
+ - flux 768x768 ~600mb
+ - SD2 768x768 ~1400mb
+
+For most backends, it slows things down, but for cuda it generally speeds it up too.
+At the moment, it is only supported for some models and some backends (like cpu, cuda/rocm, metal).
+
+Run by adding `--diffusion-fa` to the arguments and watch for:
+```
+[INFO ] stable-diffusion.cpp:312 - Using flash attention in the diffusion model
+```
+and the compute buffer shrink in the debug log:
+```
+[DEBUG] ggml_extend.hpp:1004 - flux compute buffer size: 650.00 MB(VRAM)
+```
+
+## Offload weights to the CPU to save VRAM without reducing generation speed.
+
+Using `--offload-to-cpu` allows you to offload weights to the CPU, saving VRAM without reducing generation speed.
+
+## Use quantization to reduce memory usage.
+
+[quantization](./quantization_and_gguf.md)
\ No newline at end of file
diff --git a/docs/sd.md b/docs/sd.md
new file mode 100644
index 0000000..f95c472
--- /dev/null
+++ b/docs/sd.md
@@ -0,0 +1,37 @@
+## Download weights
+
+- download original weights(.ckpt or .safetensors). For example
+ - Stable Diffusion v1.4 from https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
+ - Stable Diffusion v1.5 from https://huggingface.co/runwayml/stable-diffusion-v1-5
+ - Stable Diffuison v2.1 from https://huggingface.co/stabilityai/stable-diffusion-2-1
+ - Stable Diffusion 3 2B from https://huggingface.co/stabilityai/stable-diffusion-3-medium
+
+### txt2img example
+
+```sh
+./bin/sd -m ../models/sd-v1-4.ckpt -p "a lovely cat"
+# ./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat"
+# ./bin/sd -m ../models/sd_xl_base_1.0.safetensors --vae ../models/sdxl_vae-fp16-fix.safetensors -H 1024 -W 1024 -p "a lovely cat" -v
+# ./bin/sd -m ../models/sd3_medium_incl_clips_t5xxlfp16.safetensors -H 1024 -W 1024 -p 'a lovely cat holding a sign says \"Stable Diffusion CPP\"' --cfg-scale 4.5 --sampling-method euler -v --clip-on-cpu
+# ./bin/sd --diffusion-model ../models/flux1-dev-q3_k.gguf --vae ../models/ae.sft --clip_l ../models/clip_l.safetensors --t5xxl ../models/t5xxl_fp16.safetensors -p "a lovely cat holding a sign says 'flux.cpp'" --cfg-scale 1.0 --sampling-method euler -v --clip-on-cpu
+# ./bin/sd -m ..\models\sd3.5_large.safetensors --clip_l ..\models\clip_l.safetensors --clip_g ..\models\clip_g.safetensors --t5xxl ..\models\t5xxl_fp16.safetensors -H 1024 -W 1024 -p 'a lovely cat holding a sign says \"Stable diffusion 3.5 Large\"' --cfg-scale 4.5 --sampling-method euler -v --clip-on-cpu
+```
+
+Using formats of different precisions will yield results of varying quality.
+
+| f32 | f16 |q8_0 |q5_0 |q5_1 |q4_0 |q4_1 |
+| ---- |---- |---- |---- |---- |---- |---- |
+|  | | | | | | |
+
+### img2img example
+
+- `./output.png` is the image generated from the above txt2img pipeline
+
+
+```
+./bin/sd -m ../models/sd-v1-4.ckpt -p "cat with blue eyes" -i ./output.png -o ./img2img_output.png --strength 0.4
+```
+
+
+ 
+
\ No newline at end of file
diff --git a/examples/cli/README.md b/examples/cli/README.md
new file mode 100644
index 0000000..6e8ddd4
--- /dev/null
+++ b/examples/cli/README.md
@@ -0,0 +1,113 @@
+# Run
+
+```
+usage: ./bin/sd [arguments]
+
+arguments:
+ -h, --help show this help message and exit
+ -M, --mode [MODE] run mode, one of: [img_gen, vid_gen, upscale, convert], default: img_gen
+ -t, --threads N number of threads to use during computation (default: -1)
+ If threads <= 0, then threads will be set to the number of CPU physical cores
+ --offload-to-cpu place the weights in RAM to save VRAM, and automatically load them into VRAM when needed
+ -m, --model [MODEL] path to full model
+ --diffusion-model path to the standalone diffusion model
+ --high-noise-diffusion-model path to the standalone high noise diffusion model
+ --clip_l path to the clip-l text encoder
+ --clip_g path to the clip-g text encoder
+ --clip_vision path to the clip-vision encoder
+ --t5xxl path to the t5xxl text encoder
+ --qwen2vl path to the qwen2vl text encoder
+ --qwen2vl_vision path to the qwen2vl vit
+ --vae [VAE] path to vae
+ --taesd [TAESD_PATH] path to taesd. Using Tiny AutoEncoder for fast decoding (low quality)
+ --control-net [CONTROL_PATH] path to control net model
+ --embd-dir [EMBEDDING_PATH] path to embeddings
+ --upscale-model [ESRGAN_PATH] path to esrgan model. For img_gen mode, upscale images after generate, just RealESRGAN_x4plus_anime_6B supported by now
+ --upscale-repeats Run the ESRGAN upscaler this many times (default 1)
+ --type [TYPE] weight type (examples: f32, f16, q4_0, q4_1, q5_0, q5_1, q8_0, q2_K, q3_K, q4_K)
+ If not specified, the default is the type of the weight file
+ --tensor-type-rules [EXPRESSION] weight type per tensor pattern (example: "^vae\.=f16,model\.=q8_0")
+ --lora-model-dir [DIR] lora model directory
+ -i, --init-img [IMAGE] path to the init image, required by img2img
+ --mask [MASK] path to the mask image, required by img2img with mask
+ -i, --end-img [IMAGE] path to the end image, required by flf2v
+ --control-image [IMAGE] path to image condition, control net
+ -r, --ref-image [PATH] reference image for Flux Kontext models (can be used multiple times)
+ --control-video [PATH] path to control video frames, It must be a directory path.
+ The video frames inside should be stored as images in lexicographical (character) order
+ For example, if the control video path is `frames`, the directory contain images such as 00.png, 01.png, 鈥?etc.
+ --increase-ref-index automatically increase the indices of references images based on the order they are listed (starting with 1).
+ -o, --output OUTPUT path to write result image to (default: ./output.png)
+ -p, --prompt [PROMPT] the prompt to render
+ -n, --negative-prompt PROMPT the negative prompt (default: "")
+ --cfg-scale SCALE unconditional guidance scale: (default: 7.0)
+ --img-cfg-scale SCALE image guidance scale for inpaint or instruct-pix2pix models: (default: same as --cfg-scale)
+ --guidance SCALE distilled guidance scale for models with guidance input (default: 3.5)
+ --slg-scale SCALE skip layer guidance (SLG) scale, only for DiT models: (default: 0)
+ 0 means disabled, a value of 2.5 is nice for sd3.5 medium
+ --eta SCALE eta in DDIM, only for DDIM and TCD: (default: 0)
+ --skip-layers LAYERS Layers to skip for SLG steps: (default: [7,8,9])
+ --skip-layer-start START SLG enabling point: (default: 0.01)
+ --skip-layer-end END SLG disabling point: (default: 0.2)
+ --scheduler {discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform, simple} Denoiser sigma scheduler (default: discrete)
+ --sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd}
+ sampling method (default: "euler" for Flux/SD3/Wan, "euler_a" otherwise)
+ --timestep-shift N shift timestep for NitroFusion models, default: 0, recommended N for NitroSD-Realism around 250 and 500 for NitroSD-Vibrant
+ --steps STEPS number of sample steps (default: 20)
+ --high-noise-cfg-scale SCALE (high noise) unconditional guidance scale: (default: 7.0)
+ --high-noise-img-cfg-scale SCALE (high noise) image guidance scale for inpaint or instruct-pix2pix models: (default: same as --cfg-scale)
+ --high-noise-guidance SCALE (high noise) distilled guidance scale for models with guidance input (default: 3.5)
+ --high-noise-slg-scale SCALE (high noise) skip layer guidance (SLG) scale, only for DiT models: (default: 0)
+ 0 means disabled, a value of 2.5 is nice for sd3.5 medium
+ --high-noise-eta SCALE (high noise) eta in DDIM, only for DDIM and TCD: (default: 0)
+ --high-noise-skip-layers LAYERS (high noise) Layers to skip for SLG steps: (default: [7,8,9])
+ --high-noise-skip-layer-start (high noise) SLG enabling point: (default: 0.01)
+ --high-noise-skip-layer-end END (high noise) SLG disabling point: (default: 0.2)
+ --high-noise-scheduler {discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform, simple} Denoiser sigma scheduler (default: discrete)
+ --high-noise-sampling-method {euler, euler_a, heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, ipndm, ipndm_v, lcm, ddim_trailing, tcd}
+ (high noise) sampling method (default: "euler_a")
+ --high-noise-steps STEPS (high noise) number of sample steps (default: -1 = auto)
+ SLG will be enabled at step int([STEPS]*[START]) and disabled at int([STEPS]*[END])
+ --strength STRENGTH strength for noising/unnoising (default: 0.75)
+ --control-strength STRENGTH strength to apply Control Net (default: 0.9)
+ 1.0 corresponds to full destruction of information in init image
+ -H, --height H image height, in pixel space (default: 512)
+ -W, --width W image width, in pixel space (default: 512)
+ --rng {std_default, cuda} RNG (default: cuda)
+ -s SEED, --seed SEED RNG seed (default: 42, use random seed for < 0)
+ -b, --batch-count COUNT number of images to generate
+ --prediction {eps, v, edm_v, sd3_flow, flux_flow} Prediction type override
+ --clip-skip N ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer (default: -1)
+ <= 0 represents unspecified, will be 1 for SD1.x, 2 for SD2.x
+ --vae-tiling process vae in tiles to reduce memory usage
+ --vae-tile-size [X]x[Y] tile size for vae tiling (default: 32x32)
+ --vae-relative-tile-size [X]x[Y] relative tile size for vae tiling, in fraction of image size if < 1, in number of tiles per dim if >=1 (overrides --vae-tile-size)
+ --vae-tile-overlap OVERLAP tile overlap for vae tiling, in fraction of tile size (default: 0.5)
+ --force-sdxl-vae-conv-scale force use of conv scale on sdxl vae
+ --vae-on-cpu keep vae in cpu (for low vram)
+ --clip-on-cpu keep clip in cpu (for low vram)
+ --diffusion-fa use flash attention in the diffusion model (for low vram)
+ Might lower quality, since it implies converting k and v to f16.
+ This might crash if it is not supported by the backend.
+ --diffusion-conv-direct use Conv2d direct in the diffusion model
+ This might crash if it is not supported by the backend.
+ --vae-conv-direct use Conv2d direct in the vae model (should improve the performance)
+ This might crash if it is not supported by the backend.
+ --control-net-cpu keep controlnet in cpu (for low vram)
+ --canny apply canny preprocessor (edge detection)
+ --color colors the logging tags according to level
+ --chroma-disable-dit-mask disable dit mask for chroma
+ --chroma-enable-t5-mask enable t5 mask for chroma
+ --chroma-t5-mask-pad PAD_SIZE t5 mask pad size of chroma
+ --video-frames video frames (default: 1)
+ --fps fps (default: 24)
+ --moe-boundary BOUNDARY timestep boundary for Wan2.2 MoE model. (default: 0.875)
+ only enabled if `--high-noise-steps` is set to -1
+ --flow-shift SHIFT shift value for Flow models like SD3.x or WAN (default: auto)
+ --vace-strength wan vace strength
+ --photo-maker path to PHOTOMAKER model
+ --pm-id-images-dir [DIR] path to PHOTOMAKER input id images dir
+ --pm-id-embed-path [PATH] path to PHOTOMAKER v2 id embed
+ --pm-style-strength strength for keeping PHOTOMAKER input identity (default: 20)
+ -v, --verbose print extra info
+```
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