Files

1.5 KiB

Workflows

1) Text -> Checkpoint + LoRA

File: workflows/ollama_text_checkpoint_lora.json

Flow:

  • OllamaPromptPlanner
  • DynamicCheckpointLoader
  • DynamicLoraStack
  • CLIPTextEncode (positive/negative)
  • KSampler
  • VAEDecode
  • SaveImage

Use when:

  • prompt-only generation
  • standard SDXL/SD1.5 checkpoints
  • automatic LoRA selection from planner output

2) Text -> Flux Split + LoRA

File: workflows/ollama_text_flux_split_lora.json

Flow differences:

  • planner uses task_hint = flux
  • loader uses model_type = flux
  • loader receives planner vae_name and clip_name as overrides

Use when:

  • flux diffusion model is separate from VAE and text encoders
  • prompt-only generation with optional LoRA stack

3) Image + Prompt -> Checkpoint + LoRA

File: workflows/ollama_image_checkpoint_lora.json

Flow:

  • LoadImage
  • OllamaVisionStylePlanner analyzes image + prompt
  • standard checkpoint and LoRA path
  • VAEEncode for img2img latent
  • KSampler with planner denoise

Use when:

  • image-guided stylization or enhancement with non-flux models

4) Image + Prompt -> Flux Split + LoRA

File: workflows/ollama_image_flux_split_lora.json

Flow differences:

  • vision planner with task_hint = flux
  • flux split overrides for clip/vae
  • img2img latent path through VAEEncode

Use when:

  • image-guided generation with flux diffusion models and separate clip/vae files

Debug/Status

Each workflow includes LiveStatus nodes to show:

  • planner JSON
  • selected checkpoint or diffusion model
  • loader debug output
  • LoRA stack debug output