Velvet Chroma v2.0
Recommended settings:
Sampler: Euler / Deis2m
Scheduler: Beta / Beta57 / Sigmoid_offset
Steps: 10
CFG: 4
Hires Fix / Adetailer: recommended
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
Sampler: Euler / Scheduler: Sigmoid_offset / Steps: 10 / CFG: 4
FAQ
Comments (5)
does this have accelerator lora built in?
The wokflow link you posted for 2.0 is it work for version 1.1 full fp16 model? Does that workflow help to reduce vram usage when doing hires fix?
Yes, it works with the 1.1 full fp16 model .
You just need to swap the GGUF loader node for a UNet loader node and it’ll run fine.
About VRAM: it’s going to use almost the same. The fp16 model is ~17GB by itself and that can’t really be reduced. The only thing the workflow does is clean VRAM after sampling and after the face detailer, so usage will drop a bit at those points — but with full fp16 you’ll still be around 26–28GB VRAM in my case.
(I also have a lot of tabs and stuff open, so you might be able to get it a bit lower than my numbers.)
@DeViLDoNia yes i swap out the unetloader gguf with load diffusion model and clip loader gguf with normal clip that allow me to use fp16 text encoder and then connect to the same node as the original workflow. When i click run, i got this error:
UltralyticsDetectorProvider
Weights only load failed. This file can still be loaded, to do so you have two options, [1mdo those steps only if you trust the source of the checkpoint[0m. (1) In PyTorch 2.6, we changed the default value of the weights_only argument in torch.load from False to True. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. (2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message. WeightsUnpickler error: Unsupported global: GLOBAL ultralytics.nn.tasks.DetectionModel was not an allowed global by default. Please use torch.serialization.add_safe_globals([ultralytics.nn.tasks.DetectionModel]) or the torch.serialization.safe_globals([ultralytics.nn.tasks.DetectionModel]) context manager to allowlist this global if you trust this class/function. Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.
@DeViLDoNia nvm. problem solved. I revert back the previous version of comfyui subpack and that face detailer now working


















