Chroma Flux | ComfyUI Tweaked | Workflow

This ComfyUI workflow is for generating Chroma Diffusion images from a text prompt, using a Chroma checkpoint and T5 text encoder; its named VAEDecode and SaveImage components suggest decoded images can be saved as output.

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For Chroma GGUF models, the description specifies a T5 text encoder only and the custom nodes “Load Chroma Diffusion Model” and “Padding Removal.”

Choose a Chroma checkpoint from the listed high- or medium-VRAM collections; e4m3fn is preferred for the T5 encoder on medium VRAM.

Install the ComfyUI_FluxMod extension in ComfyUI\custom_nodes.

Place model files in ComfyUI\models\unet and ComfyUI\models\clip.

Named model files include chroma-unlocked-v16-Q4_0.gguf and stableDiffusion3SD3_textEncoderT5E4m3fn.safetensors.

Other named components are ChromaDiffusionLoader, ChromaPaddingRemoval, CLIPLoader, CLIPTextEncode, EmptyLatentImage, and KSampler.

The named list also includes ModelSamplingFlux, SaveImage, VAEDecode, and VAELoader.

Try Euler ancestral with a beta scheduler as a starting setting; the description’s author prefers it to Euler beta and other combinations.

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If dot-like marks or edge noise appear, try ModelSamplingFlux with max_shift = 1.5 and base_shift = 0.5.

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The description suggests 25 steps with CFG 4.0–5.0 and also mentions 20 steps as an option.

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No model-use license is listed; check the applicable usage terms before using the checkpoint or encoder.

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