Workflow Ep18 Sdxl Animationcartoon With Flux Img2img With Controlnet

workflow_ep18_sdxl_animationcartoon_with_flux_img2img_with_controlnet

Imported workflow skill generated from EP18 SDXL AnimationCartoon With Flux IMG2IMG with ControlNet.json.

Family

• img2img_inpaint_outpaint

Inputs

• Optional runtime overrides supported by run(...):
  • prompt
  • negative_prompt
  • width, height
  • seed, steps, cfg
  • sampler_name, scheduler, denoise
  • server, headers, api_prefix

Outputs

• Returns JSON with:
  • status
  • prompt_id
  • output_images

Model Requirements

• controlnet: diffusion_pytorch_model_promax.safetensors -> models/controlnet
• clip: t5-v1_1-xxl-encoder-Q8_0.gguf -> models/clip
• diffusion_model: flux1-dev-Q8_0.gguf -> models/diffusion_models
• vae: ae.safetensors -> models/vae
• checkpoint: wildcardxXLANIMATION_wildcardxXLANIMATION.safetensors -> models/checkpoints

Custom Node Requirements

• None detected.

Links

• https://civitai.com/models/297501?modelVersionId=357959

Routing Metadata

• Family: img2img_inpaint_outpaint
• Input modalities: image, text_prompt
• Output modalities: image/png
• Model families: flux, wan
• Node count: 43
• Complexity score: 4
• Resource profile: medium
• Estimated runtime: moderate (about 30-120s depending on server)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: 30

Detected Models

• controlnet: diffusion_pytorch_model_promax.safetensors -> models/controlnet
• clip: t5-v1_1-xxl-encoder-Q8_0.gguf -> models/clip
• diffusion_model: flux1-dev-Q8_0.gguf -> models/diffusion_models
• vae: ae.safetensors -> models/vae
• checkpoint: wildcardxXLANIMATION_wildcardxXLANIMATION.safetensors -> models/checkpoints

Detected Custom Nodes

• None detected.

Runtime Warnings

• Large model(s) detected; ensure enough VRAM and disk space.