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Comfyui Workflow - Flux to Jib Mix Refiner with Negative prompts

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Updated: Aug 27, 2024
base modeltensor
Type
Workflows
Stats
345
Reviews
Published
Aug 27, 2024
Base Model
Flux.1 D
Hash
AutoV2
73EAB5C74D
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J1B
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

This ComfyUI Workflow takes a Flux Dev model image and gives the option to refine it with an SDXL model for even more realistic results or Flux if you want to wait a while!

Version 4:

Added Flux SD Ultimate Upscale
Added Force Clip to CPU selector
Neatened up a few nodes and groups (still work to be done tidying things up a lot)

Version 3:

Made several improvements, Now has Flux or SDXL upscale re-routing, load image, Sepate T5 and Clip Prompts and now there are Loras out to actually use with it.

I recommend this lora for details: https://civitai.com/models/636355/flux-detailer

And these for nudity:
https://civitai.com/models/640156/scg-anatomy-flux1d?modelVersionId=715962
https://civitai.com/models/639094/rnormalnudes-for-flux?modelVersionId=716917

Version 2:

I took out TensorRT in favour of adding in A Controlnet Canny and Lora Support (as these are not compatible with TensorRT).
Also now supports negative prompting and CFG for better prompt following.

Version 1.

Can use TensorRT to speed up SDXL generation by 60%

it also has many post-processing and blending image nodes to help perfect the outputs.


Modifying the "denoise" amount is not very intuitive, but if you want a higher denoise value to change the output more you can increase the number of SDXL steps, while fewer SDXL steps will give an image more similar to the flux output.
TensorRT Instructions (verson 1) : https://github.com/comfyanonymous/ComfyUI_TensorRT
If you don't want to use TensorRT just pull the model from the SDXL Checkpoint Loader to the Ksampler instead.

The TensorRT Build Settings I use on a RTX 3090: