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docs: add chroma doc

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@ -14,6 +14,7 @@ Inference of Stable Diffusion and Flux in pure C/C++
- !!!The VAE in SDXL encounters NaN issues under FP16, but unfortunately, the ggml_conv_2d only operates under FP16. Hence, a parameter is needed to specify the VAE that has fixed the FP16 NaN issue. You can find it here: [SDXL VAE FP16 Fix](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors). - !!!The VAE in SDXL encounters NaN issues under FP16, but unfortunately, the ggml_conv_2d only operates under FP16. Hence, a parameter is needed to specify the VAE that has fixed the FP16 NaN issue. You can find it here: [SDXL VAE FP16 Fix](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors).
- [Flux-dev/Flux-schnell Support](./docs/flux.md) - [Flux-dev/Flux-schnell Support](./docs/flux.md)
- [FLUX.1-Kontext-dev](./docs/kontext.md) - [FLUX.1-Kontext-dev](./docs/kontext.md)
- [Chroma](./docs/chroma.md)
- [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo) and [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo) support - [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo) and [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo) support
- [PhotoMaker](https://github.com/TencentARC/PhotoMaker) support. - [PhotoMaker](https://github.com/TencentARC/PhotoMaker) support.
- 16-bit, 32-bit float support - 16-bit, 32-bit float support
@ -274,6 +275,9 @@ arguments:
--control-net-cpu keep controlnet in cpu (for low vram) --control-net-cpu keep controlnet in cpu (for low vram)
--canny apply canny preprocessor (edge detection) --canny apply canny preprocessor (edge detection)
--color colors the logging tags according to level --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
-v, --verbose print extra info -v, --verbose print extra info
``` ```

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# How to Use
You can run Chroma using stable-diffusion.cpp with a GPU that has 6GB or even 4GB of VRAM, without needing to offload to RAM.
## Download weights
- Download Chroma
- If you don't want to do the conversion yourself, download the preconverted gguf model from [silveroxides/Chroma-GGUF](https://huggingface.co/silveroxides/Chroma-GGUF)
- Otherwise, download chroma's safetensors from [lodestones/Chroma](https://huggingface.co/lodestones/Chroma)
- Download vae from https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/ae.safetensors
- Download t5xxl from https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/t5xxl_fp16.safetensors
## Convert Chroma weights
You can download the preconverted gguf weights from [silveroxides/Chroma-GGUF](https://huggingface.co/silveroxides/Chroma-GGUF), this way you don't have to do the conversion yourself.
```
.\bin\Release\sd.exe -M convert -m ..\..\ComfyUI\models\unet\chroma-unlocked-v40.safetensors -o ..\models\chroma-unlocked-v40-q8_0.gguf -v --type q8_0
```
## Run
### Example
For example:
```
.\bin\Release\sd.exe -diffusion-model ..\models\chroma-unlocked-v40-q8_0.gguf --vae ..\models\ae.sft --t5xxl ..\models\t5xxl_fp16.safetensors -p "a lovely cat holding a sign says 'chroma.cpp'" --cfg-scale 4.0 --sampling-method euler -v --chroma-disable-dit-mask
```
![](../assets/flux/chroma_v40.png)