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Flux Character Selector Workflow

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Type

Workflows

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Published

Jan 16, 2025

Base Model

Flux.1 D

Hash

AutoV2
B1E12A262D

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 is designed for generating detailed, character-driven imagery with Flux models. The workflow is centred around a dynamic prompting system, robust image generation, and advanced sampling techniques. It includes:

  1. Flux Model Integration:

    • Utilizes Flux-specific components like VAELoader, DualCLIPLoader, TripleCLIPLoader, and UNETLoader for robust model loading and operation.

    • Supports multiple LoRA models to enhance styles, including fine-tuned textures and dramatic lighting effects.

  2. Prompting System:

    • Includes customizable text fields for specifying prospective styles, scene details, and quality.

    • Features a "Random Prompt" node with predefined options like character traits and descriptions (e.g., iconic characters like Lara Croft reimagined in a specific style).

  3. Image Generation Pipeline:

    • Multiple samplers and schedulers work together to create high-quality latent outputs.

    • Includes advanced upscaling (CR Upscale Image) and preview nodes for live monitoring of results.

  4. Dynamic Conditioning:

    • Incorporates nodes like ConditioningConcat and CLIPTextEncodeFlux to enable flexible, multi-layer conditioning of images.

  5. User Guidance and Notes:

    • Provides embedded notes to guide users on where to place wildcards and prompts for seamless integration with the workflow.

    • Clear instructions for setting up and using specific elements of the pipeline.

  6. Preview and Comparison:

    • Integrates preview nodes for real-time visualization and an image comparer for assessing the quality of generated outputs.

  7. Configurable Outputs:

    • Tailored to produce polished visuals with high textural fidelity and lifelike character traits, while maintaining artistic charm