Comfy-agent workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_text

name: workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_text

install
source · Clone the upstream repo
git clone https://github.com/steliosot/comfy-agent
manifest: skills/workflows/txt2img/workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_text/skill.yaml
source content

name: workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_text description: Workflow wrapper for Ep14 Flux Dev Q8 GGUF with ControlNet Union TEXT.json inputs: prompt: type: string required: false negative_prompt: type: string required: false width: type: integer required: false height: type: integer required: false seed: type: integer required: false steps: type: integer required: false cfg: type: number required: false sampler_name: type: string required: false scheduler: type: string required: false denoise: type: number required: false server: type: string required: false headers: type: object required: false api_prefix: type: string required: false outputs: status: type: string prompt_id: type: string output_images: type: array requirements: models:

  • type: diffusion_model name: flux1-dev-Q8_0.gguf target_folder: models/diffusion_models
  • type: clip name: t5-v1_1-xxl-encoder-Q8_0.gguf target_folder: models/clip
  • type: vae name: ae.safetensors target_folder: models/vae
  • type: controlnet name: flux-dev-controlnet-union.safetensors target_folder: models/controlnet custom_nodes: [] links: [] input_modalities:
  • image
  • text_prompt output_modalities:
  • image/png model_families:
  • flux
  • sd3
  • wan node_count: 24 node_types:
  • AIO_Preprocessor
  • CLIPTextEncode
  • ControlNetApplyAdvanced
  • ControlNetLoader
  • DualCLIPLoaderGGUF
  • EmptySD3LatentImage
  • FluxGuidance
  • FluxResolutionNode
  • KSampler
  • Label (rgthree)
  • LoadImage
  • PreviewImage
  • SaveImage
  • UnetLoaderGGUF
  • VAEDecode
  • VAELoader
  • easy showAnything selection_metadata: family: txt2img resource_profile: medium complexity_score: 5 estimated_runtime: moderate (about 30-120s depending on server) warnings:
  • Large model(s) detected; ensure enough VRAM and disk space.
  • Medium-high resolution detected; expect moderate extra runtime. max_width: 1024 max_height: 1024 max_steps: 20