1.5 KiB
1.5 KiB
Workflows
1) Text -> Checkpoint + LoRA
File: workflows/ollama_text_checkpoint_lora.json
Flow:
OllamaPromptPlannerDynamicCheckpointLoaderDynamicLoraStackCLIPTextEncode(positive/negative)KSamplerVAEDecodeSaveImage
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_nameandclip_nameas 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:
LoadImageOllamaVisionStylePlanneranalyzes image + prompt- standard checkpoint and LoRA path
VAEEncodefor img2img latentKSamplerwith 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