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    Velvet Chroma v2.0

    Recommended settings:

    Sampler: Euler / Deis2m

    Scheduler: Beta / Beta57 / Sigmoid_offset

    Steps: 10

    CFG: 4

    Resolution: 1024x1024 / 832x1216 / 896x1152

    Clip: Flant5-xxl_Q8_0 works fine

    VAE: ae.safetensors

    Recommended Prompting:

    Trigger words: none

    Negative prompt: none (or only worst quality, low quality)

    Comfyui worflow: On showcase pictures or here



    Velvet Chroma v1.0

    Recommended settings:
    Sampler: Euler · Steps: around 30 · CFG: 3–4
    Hires Fix: recommended
    Resolution: 896×1152 · VAE: ae.safetensors

    Other quantizations can be added on request.

    Description

    v1.1 FP16

    FAQ

    Comments (9)

    undeadking850882Nov 10, 2025
    CivitAI

    I have an RTX 4090. I checked the text encoders and there are some that are quite large, like 20GB or 45GB. Will using these improve the quality? Or do you have any recommendations?

    DeViLDoNia
    Author
    Nov 10, 2025· 1 reaction

    Tthe larger Text Encoders (20GB–45GB) are generally the highest-quality ones. However, with a 24GB GPU like the RTX 4090 (i'm using a 5090, it's practically the same), you’re not really going to see any noticeable improvement in output quality, because the gain is minimal compared to the extra VRAM load. The best balance is to use a top-tier TextEncoder quantized (Q8 or Q6) or even just go straight to a FP16 build if available. It’ll save memory and give you virtually the same visual fidelity.

    The main issue with Chroma right now is that image generation is slower compared to Flux, so every bit of VRAM you can save helps reduce generation time. Sometimes the time you save is worth more than the tiny quality loss. For example, going from FP16 to FP16_Q8_0 can reduce generation time from around 120 seconds to just 58 seconds at 832×1216 with Face Detailer and 4× upscale — a huge difference for almost no visible drop in quality.

    For a 4090, I’d recommend this model:
    flan-t5-xxl-fp16.safetensors: silveroxides/flan-t5-xxl-encoder-only
    or a quantized version, Q8 or Q6 build: dumb-dev/flan-t5-xxl-gguf

    undeadking850882Nov 10, 2025· 1 reaction

    @DeViLDoNia Thank you for your kind reply. It was a great help.

    yuto303Nov 17, 2025

    @DeViLDoNia i uses the chroma1 workflow template that comfyui already provided and uses text encoder fp16 as recommended. Wow the default setting at 1024x1024 with this velvet chroma already consume over 30gb vram. Luckily like u, i also have rtx 5090. mine is asus astral model. can i use text prompt similar to i have been using for illustrious in chroma1hd?

    DeViLDoNia
    Author
    Nov 17, 2025· 1 reaction

    @yuto303 Yes, you definitely can. Chroma1 has a very strong understanding of Danbooru-style tags, and Velvet Chroma expands that knowledge even further, so your Illustrious-style prompts will work perfectly fine. With a 5090 you won’t have any trouble at all.

    If you want to reduce VRAM usage, I recommend using the checkpoint quantized in Q8_0 along with the flan-t5-xxl Q8_0 text encoder. With that combination you’ll be able to generate images with Chroma while still using your PC normally at the same time.

    yuto303Nov 17, 2025

    @DeViLDoNia thanks. What about scheduler setting? Did you use this sigmoid scheduler? https://github.com/silveroxides/ComfyUI_SigmoidOffsetScheduler

    I heard it is best for chroma.

    Currently im using euler sampler and beta scheduler. Later tonight i will try to install this sigmoid scheduler and give it a try

    DeViLDoNia
    Author
    Nov 17, 2025· 1 reaction

    @yuto303 I didn’t know about that scheduler either, but I’m installing it right now to test it as well.

    yuto303Nov 18, 2025

    @DeViLDoNia nice. Do let me know the result

    DeViLDoNia
    Author
    Nov 18, 2025

    @yuto303 it works well. I need to test it more, but i think it's probably a good one.

    Checkpoint
    Chroma

    Details

    Downloads
    122
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/10/2025
    Updated
    5/12/2026
    Deleted
    -

    Files

    velvetChroma_v11FP16.safetensors

    Mirrors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.