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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.
See GitHub page for more details.
Overview
I've created an All-in-One FluxDev workflow in ComfyUI that combines various techniques for generating images with the FluxDev model, including img-to-img and text-to-img. This workflow can use LoRAs, ControlNets, enabling negative prompting with Ksampler, dynamic thresholding, inpainting, and more. Please note that this is not the "correct" way of using these techniques, but rather my personal interpretation based on the available information.
Main Features
Switch between image-to-image and text-to-image generation
For text-to-image generation, choose from predefined SDXL resolution or use the Pixel Resolution Calculator node to create a resolution based on aspect ratio and megapixel via the switch
Load ControlNet models and LoRAs
Sampling with model sampling Flux and Sampler Custom Advance node, based on the original official demo workflow
sampling with dynamic thresholding and Ksampler Advance node, enabling positive and negative conditioning with FluxGuidance
Simple inpainting
High-res fix like iterative upscaling with Tiled Diffusion