Adds full support for the Qwen Image Edit 2511 model architecture,
including both the diffusers version (Qwen/Qwen-Image-Edit-2511) and
GGUF quantized versions (unsloth/Qwen-Image-Edit-2511-GGUF).

Backend changes:
- Add QwenImageEdit base model type to taxonomy
- Add diffusers and GGUF model config classes with detection logic
- Add model loader for diffusers and GGUF formats
- Add 5 invocation nodes: model loader, text/vision encoder, denoise,
  image-to-latents, latents-to-image
- Add QwenVLEncoderField for Qwen2.5-VL vision-language encoder
- Add QwenImageEditConditioningInfo and conditioning field
- Add generation modes and step callback support
- Add 5 starter models (full diffusers + Q2_K, Q4_K_M, Q6_K, Q8_0 GGUF)

Frontend changes:
- Add graph builder for linear UI generation
- Register in canvas and generate enqueue hooks
- Update type definitions, optimal dimensions, grid sizes
- Add readiness validation, model picker grouping, clip skip config
- Regenerate OpenAPI schema

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

fix: use AutoProcessor.from_pretrained to load Qwen VL processor correctly

Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
Agent-Logs-Url: https://github.com/lstein/InvokeAI/sessions/4d4417be-0f61-4faa-a21c-16e9ce81fec7

chore: bump diffusers==0.37.1

Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
Agent-Logs-Url: https://github.com/lstein/InvokeAI/sessions/38a76809-d9a3-40f1-b5b3-fb56342e8e90

fix: handle multiple reference images

feature: add text encoder selection to advanced section for Qwen Image Edit

feat: complete Qwen Image Edit pipeline with LoRA, GGUF, quantization, and UI support

Major additions:
- LoRA support: loader invocation, config detection, conversion utils, prefix
  constants, and LayerPatcher integration in denoise with sidecar patching for
  GGUF models
- Lightning LoRA: starter models (4-step and 8-step bf16), shift override
  parameter for the distilled sigma schedule
- GGUF fixes: correct base class (ModelLoader), zero_cond_t=True, correct
  in_channels (no /4 division)
- Denoise: use FlowMatchEulerDiscreteScheduler directly, proper CFG gating
  (skip negative when cfg<=1), reference latent pixel-space resize
- I2L: resize reference image to generation dimensions before VAE encoding
- Graph builder: wire LoRAs via collection loader, VAE-encode reference image
  as latents for spatial conditioning, pass shift/quantization params
- Frontend: shift override (checkbox+slider), LoRA graph wiring, scheduler
  hidden for Qwen Image Edit, model switching cleanup
- Starter model bundle for Qwen Image Edit
- LoRA config registered in discriminated union (factory.py)
- Downgrade transformers requirement back to >=4.56.0

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>