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feat(z-image): add Z-Image Base (undistilled) model variant support #8799

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@Pfannkuchensack Pfannkuchensack commented Jan 28, 2026

Summary

  • Add ZImageVariantType enum with 'turbo' and 'zbase' variants
  • Auto-detect variant on import via scheduler_config.json shift value (3.0=turbo, 6.0=zbase)
  • Add database migration to populate variant field for existing Z-Image models
  • Re-add LCM scheduler with variant-aware filtering (LCM hidden for zbase)
  • Auto-reset scheduler to Euler when switching to zbase model if LCM selected
  • Update frontend to show/hide LCM option based on model variant
  • Add toast notification when scheduler is auto-reset

Z-Image Base models are undistilled and require more steps (28-50) with higher guidance (3.0-5.0), while Z-Image Turbo is distilled for ~8 steps with CFG 1.0. LCM scheduler only works with distilled (Turbo) models.

Only Tested with Diffusers version of the Model.

Related Issues / Discussions

Adds full support for Z-Image Base (undistilled) models alongside the existing Z-Image Turbo support.

QA Instructions

  1. Import a Z-Image Turbo model - Verify variant is detected as "turbo"
  2. Import a Z-Image Base model - Verify variant is detected as "zbase" (shift value 6.0 in scheduler_config.json)
  3. Select Z-Image Turbo model - Verify LCM scheduler option is available
  4. Select Z-Image Base model - Verify LCM scheduler option is hidden (only Euler and Heun shown)
  5. With LCM selected, switch from Turbo to Base - Verify scheduler auto-resets to Euler with toast notification
  6. Edit model in Model Manager - Verify variant field is editable for Z-Image models

Merge Plan

Database migration (migration_26) adds variant field to existing Z-Image models. Safe to merge anytime.

Checklist

  • The PR has a short but descriptive title, suitable for a changelog
  • Tests added / updated (if applicable)
  • ❗Changes to a redux slice have a corresponding migration
  • Documentation added / updated (if applicable)
  • Updated What's New copy (if doing a release after this PR)

@Pfannkuchensack
feat(z-image): add Z-Image Base (undistilled) model variant support
1c86808 
- Add ZImageVariantType enum with 'turbo' and 'zbase' variants
- Auto-detect variant on import via scheduler_config.json shift value (3.0=turbo, 6.0=zbase)
- Add database migration to populate variant field for existing Z-Image models
- Re-add LCM scheduler with variant-aware filtering (LCM hidden for zbase)
- Auto-reset scheduler to Euler when switching to zbase model if LCM selected
- Update frontend to show/hide LCM option based on model variant
- Add toast notification when scheduler is auto-reset

Z-Image Base models are undistilled and require more steps (28-50) with higher
guidance (3.0-5.0), while Z-Image Turbo is distilled for ~8 steps with CFG 1.0.
LCM scheduler only works with distilled (Turbo) models.
@Pfannkuchensack
Chore ruff format
c044e81
@github-actions github-actions bot added python PRs that change python files invocations PRs that change invocations backend PRs that change backend files services PRs that change app services frontend PRs that change frontend files labels Jan 28, 2026
@lstein lstein self-assigned this Jan 28, 2026
@lstein lstein added the v6.12.0 Intended for 6.12.0 release label Jan 29, 2026
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lstein commented Jan 31, 2026 •
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Issues involving Z-Image Turbo support

I found a couple of problems with support for Z-Image Turbo.

Problem 1

After pulling the PR and restarting the backend, I'm getting config validation errors on previously-installed Z-Image Turbo models, and they vanish from the model manager.

Here is the type of error message that appears during startup:

[2026-01-31 18:39:59,772]::[InvokeAI]::WARNING --> Skipping invalid model config in the database with name Z-Image Turbo (quantized). Ignoring this model. ({"key": "b640a0c8-f687-4d07-afed-c329b3dcc636", "hash": "blake3:...)
[2026-01-31 18:39:59,772]::[InvokeAI]::WARNING --> Validation error: 1 validation error for tagged-union[Main_Diffusers_SD1_Config,Main_Diffusers_SD2_Config,Main_Diffusers_SDXL_Config,Main_Diffusers_SDXLRefiner_Config,Main_Diffusers_SD3_Config,Main_Diffusers_FLUX_Config,Main_Diffusers_Flux2_Config,Main_Diffusers_CogView4_Config,Main_Diffusers_ZImage_Config,Main_Checkpoint_SD1_Config,Main_Checkpoint_SD2_Config,Main_Checkpoint_SDXL_Config,Main_Checkpoint_SDXLRefiner_Config,Main_Checkpoint_Flux2_Config,Main_Checkpoint_FLUX_Config,Main_Checkpoint_ZImage_Config,Main_BnBNF4_FLUX_Config,Main_GGUF_Flux2_Config,Main_GGUF_FLUX_Config,Main_GGUF_ZImage_Config,VAE_Checkpoint_SD1_Config,VAE_Checkpoint_SD2_Config,VAE_Checkpoint_SDXL_Config,VAE_Checkpoint_FLUX_Config,VAE_Checkpoint_Flux2_Config,VAE_Diffusers_SD1_Config,VAE_Diffusers_SDXL_Config,VAE_Diffusers_Flux2_Config,ControlNet_Checkpoint_SD1_Config,ControlNet_Checkpoint_SD2_Config,ControlNet_Checkpoint_SDXL_Config,ControlNet_Checkpoint_FLUX_Config,ControlNet_Checkpoint_ZImage_Config,ControlNet_Diffusers_SD1_Config,ControlNet_Diffusers_SD2_Config,ControlNet_Diffusers_SDXL_Config,ControlNet_Diffusers_FLUX_Config,LoRA_LyCORIS_SD1_Config,LoRA_LyCORIS_SD2_Config,LoRA_LyCORIS_SDXL_Config,LoRA_LyCORIS_FLUX_Config,LoRA_LyCORIS_ZImage_Config,LoRA_OMI_SDXL_Config,LoRA_OMI_FLUX_Config,LoRA_Diffusers_SD1_Config,LoRA_Diffusers_SD2_Config,LoRA_Diffusers_SDXL_Config,LoRA_Diffusers_FLUX_Config,LoRA_Diffusers_ZImage_Config,ControlLoRA_LyCORIS_FLUX_Config,T5Encoder_T5Encoder_Config,T5Encoder_BnBLLMint8_Config,Qwen3Encoder_Qwen3Encoder_Config,Qwen3Encoder_Checkpoint_Config,Qwen3Encoder_GGUF_Config,TI_File_SD1_Config,TI_File_SD2_Config,TI_File_SDXL_Config,TI_Folder_SD1_Config,TI_Folder_SD2_Config,TI_Folder_SDXL_Config,IPAdapter_InvokeAI_SD1_Config,IPAdapter_InvokeAI_SD2_Config,IPAdapter_InvokeAI_SDXL_Config,IPAdapter_Checkpoint_SD1_Config,IPAdapter_Checkpoint_SD2_Config,IPAdapter_Checkpoint_SDXL_Config,IPAdapter_Checkpoint_FLUX_Config,T2IAdapter_Diffusers_SD1_Config,T2IAdapter_Diffusers_SDXL_Config,Spandrel_Checkpoint_Config,CLIPEmbed_Diffusers_G_Config,CLIPEmbed_Diffusers_L_Config,CLIPVision_Diffusers_Config,SigLIP_Diffusers_Config,FLUXRedux_Checkpoint_Config,LlavaOnevision_Diffusers_Config,Unknown_Config]

  Input tag 'main.gguf_quantized.z-image' found using get_model_discriminator_value() does not match any of the expected tags: 'main.diffusers.sd-1', 'main.diffusers.sd-2', 'main.diffusers.sdxl', 'main.diffusers.sdxl-refiner', 'main.diffusers.sd-3', 'main.diffusers.flux', 'main.diffusers.flux2', 'main.diffusers.cogview4', 'main.diffusers.z-image', 'main.checkpoint.sd-1', 'main.checkpoint.sd-2', 'main.checkpoint.sdxl', 'main.checkpoint.sdxl-refiner', 'main.checkpoint.flux2', 'main.checkpoint.flux', 'main.checkpoint.z-image.turbo', 'main.bnb_quantized_nf4b.flux', 'main.gguf_quantized.flux2', 'main.gguf_quantized.flux', 'main.gguf_quantized.z-image.turbo', 'vae.checkpoint.sd-1', 'vae.checkpoint.sd-2', 'vae.checkpoint.sdxl', 'vae.checkpoint.flux', 'vae.checkpoint.flux2', 'vae.diffusers.sd-1', 'vae.diffusers.sdxl', 'vae.diffusers.flux2', 'controlnet.checkpoint.sd-1', 'controlnet.checkpoint.sd-2', 'controlnet.checkpoint.sdxl', 'controlnet.checkpoint.flux', 'controlnet.checkpoint.z-image', 'controlnet.diffusers.sd-1', 'controlnet.diffusers.sd-2', 'controlnet.diffusers.sdxl', 'controlnet.diffusers.flux', 'lora.lycoris.sd-1', 'lora.lycoris.sd-2', 'lora.lycoris.sdxl', 'lora.lycoris.flux', 'lora.lycoris.z-image', 'lora.omi.sdxl', 'lora.omi.flux', 'lora.diffusers.sd-1', 'lora.diffusers.sd-2', 'lora.diffusers.sdxl', 'lora.diffusers.flux', 'lora.diffusers.z-image', 'control_lora.lycoris.flux', 't5_encoder.t5_encoder.any', 't5_encoder.bnb_quantized_int8b.any', 'qwen3_encoder.qwen3_encoder.any', 'qwen3_encoder.checkpoint.any', 'qwen3_encoder.gguf_quantized.any', 'embedding.embedding_file.sd-1', 'embedding.embedding_file.sd-2', 'embedding.embedding_file.sdxl', 'embedding.embedding_folder.sd-1', 'embedding.embedding_folder.sd-2', 'embedding.embedding_folder.sdxl', 'ip_adapter.invokeai.sd-1', 'ip_adapter.invokeai.sd-2', 'ip_adapter.invokeai.sdxl', 'ip_adapter.checkpoint.sd-1', 'ip_adapter.checkpoint.sd-2', 'ip_adapter.checkpoint.sdxl', 'ip_adapter.checkpoint.flux', 't2i_adapter.diffusers.sd-1', 't2i_adapter.diffusers.sdxl', 'spandrel_image_to_image.checkpoint.any', 'clip_embed.diffusers.any.gigantic', 'clip_embed.diffusers.any.large', 'clip_vision.diffusers.any', 'siglip.diffusers.any', 'flux_redux.checkpoint.flux', 'llava_onevision.diffusers.any', 'unknown.unknown.unknown' [type=union_tag_invalid, input_value={'key': 'b640a0c8-f687-4d...ed', 'variant': 'turbo'}, input_type=dict]

    For further information visit https://errors.pydantic.dev/2.12/v/union_tag_invalid

Problem 2

Installing a new ZiT model (in this case z_image_turbo-Q4_K.gguf) fails with a similar pydantic validation error:

[2026-01-31 18:46:27,782]::[ModelInstallService]::ERROR --> Model install error: https://huggingface.co/leejet/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q4_K.gguf
ValidationError: 1 validation error for tagged-union[Main_Diffusers_SD1_Config,Main_Diffusers_SD2_Config,Main_Diffusers_SDXL_Config,Main_Diffusers_SDXLRefiner_Config,Main_Diffusers_SD3_Config,Main_Diffusers_FLUX_Config,Main_Diffusers_Flux2_Config,Main_Diffusers_CogView4_Config,Main_Diffusers_ZImage_Config,Main_Checkpoint_SD1_Config,Main_Checkpoint_SD2_Config,Main_Checkpoint_SDXL_Config,Main_Checkpoint_SDXLRefiner_Config,Main_Checkpoint_Flux2_Config,Main_Checkpoint_FLUX_Config,Main_Checkpoint_ZImage_Config,Main_BnBNF4_FLUX_Config,Main_GGUF_Flux2_Config,Main_GGUF_FLUX_Config,Main_GGUF_ZImage_Config,VAE_Checkpoint_SD1_Config,VAE_Checkpoint_SD2_Config,VAE_Checkpoint_SDXL_Config,VAE_Checkpoint_FLUX_Config,VAE_Checkpoint_Flux2_Config,VAE_Diffusers_SD1_Config,VAE_Diffusers_SDXL_Config,VAE_Diffusers_Flux2_Config,ControlNet_Checkpoint_SD1_Config,ControlNet_Checkpoint_SD2_Config,ControlNet_Checkpoint_SDXL_Config,ControlNet_Checkpoint_FLUX_Config,ControlNet_Checkpoint_ZImage_Config,ControlNet_Diffusers_SD1_Config,ControlNet_Diffusers_SD2_Config,ControlNet_Diffusers_SDXL_Config,ControlNet_Diffusers_FLUX_Config,LoRA_LyCORIS_SD1_Config,LoRA_LyCORIS_SD2_Config,LoRA_LyCORIS_SDXL_Config,LoRA_LyCORIS_FLUX_Config,LoRA_LyCORIS_ZImage_Config,LoRA_OMI_SDXL_Config,LoRA_OMI_FLUX_Config,LoRA_Diffusers_SD1_Config,LoRA_Diffusers_SD2_Config,LoRA_Diffusers_SDXL_Config,LoRA_Diffusers_FLUX_Config,LoRA_Diffusers_ZImage_Config,ControlLoRA_LyCORIS_FLUX_Config,T5Encoder_T5Encoder_Config,T5Encoder_BnBLLMint8_Config,Qwen3Encoder_Qwen3Encoder_Config,Qwen3Encoder_Checkpoint_Config,Qwen3Encoder_GGUF_Config,TI_File_SD1_Config,TI_File_SD2_Config,TI_File_SDXL_Config,TI_Folder_SD1_Config,TI_Folder_SD2_Config,TI_Folder_SDXL_Config,IPAdapter_InvokeAI_SD1_Config,IPAdapter_InvokeAI_SD2_Config,IPAdapter_InvokeAI_SDXL_Config,IPAdapter_Checkpoint_SD1_Config,IPAdapter_Checkpoint_SD2_Config,IPAdapter_Checkpoint_SDXL_Config,IPAdapter_Checkpoint_FLUX_Config,T2IAdapter_Diffusers_SD1_Config,T2IAdapter_Diffusers_SDXL_Config,Spandrel_Checkpoint_Config,CLIPEmbed_Diffusers_G_Config,CLIPEmbed_Diffusers_L_Config,CLIPVision_Diffusers_Config,SigLIP_Diffusers_Config,FLUXRedux_Checkpoint_Config,LlavaOnevision_Diffusers_Config,Unknown_Config]
  Input tag 'main.gguf_quantized.z-image' found using get_model_discriminator_value() does not match any of the expected tags: 'main.diffusers.sd-1', 'main.diffusers.sd-2', 'main.diffusers.sdxl', 'main.diffusers.sdxl-refiner', 'main.diffusers.sd-3', 'main.diffusers.flux', 'main.diffusers.flux2', 'main.diffusers.cogview4', 'main.diffusers.z-image', 'main.checkpoint.sd-1', 'main.checkpoint.sd-2', 'main.checkpoint.sdxl', 'main.checkpoint.sdxl-refiner', 'main.checkpoint.flux2', 'main.checkpoint.flux', 'main.checkpoint.z-image.turbo', 'main.bnb_quantized_nf4b.flux', 'main.gguf_quantized.flux2', 'main.gguf_quantized.flux', 'main.gguf_quantized.z-image.turbo', 'vae.checkpoint.sd-1', 'vae.checkpoint.sd-2', 'vae.checkpoint.sdxl', 'vae.checkpoint.flux', 'vae.checkpoint.flux2', 'vae.diffusers.sd-1', 'vae.diffusers.sdxl', 'vae.diffusers.flux2', 'controlnet.checkpoint.sd-1', 'controlnet.checkpoint.sd-2', 'controlnet.checkpoint.sdxl', 'controlnet.checkpoint.flux', 'controlnet.checkpoint.z-image', 'controlnet.diffusers.sd-1', 'controlnet.diffusers.sd-2', 'controlnet.diffusers.sdxl', 'controlnet.diffusers.flux', 'lora.lycoris.sd-1', 'lora.lycoris.sd-2', 'lora.lycoris.sdxl', 'lora.lycoris.flux', 'lora.lycoris.z-image', 'lora.omi.sdxl', 'lora.omi.flux', 'lora.diffusers.sd-1', 'lora.diffusers.sd-2', 'lora.diffusers.sdxl', 'lora.diffusers.flux', 'lora.diffusers.z-image', 'control_lora.lycoris.flux', 't5_encoder.t5_encoder.any', 't5_encoder.bnb_quantized_int8b.any', 'qwen3_encoder.qwen3_encoder.any', 'qwen3_encoder.checkpoint.any', 'qwen3_encoder.gguf_quantized.any', 'embedding.embedding_file.sd-1', 'embedding.embedding_file.sd-2', 'embedding.embedding_file.sdxl', 'embedding.embedding_folder.sd-1', 'embedding.embedding_folder.sd-2', 'embedding.embedding_folder.sdxl', 'ip_adapter.invokeai.sd-1', 'ip_adapter.invokeai.sd-2', 'ip_adapter.invokeai.sdxl', 'ip_adapter.checkpoint.sd-1', 'ip_adapter.checkpoint.sd-2', 'ip_adapter.checkpoint.sdxl', 'ip_adapter.checkpoint.flux', 't2i_adapter.diffusers.sd-1', 't2i_adapter.diffusers.sdxl', 'spandrel_image_to_image.checkpoint.any', 'clip_embed.diffusers.any.gigantic', 'clip_embed.diffusers.any.large', 'clip_vision.diffusers.any', 'siglip.diffusers.any', 'flux_redux.checkpoint.flux', 'llava_onevision.diffusers.any', 'unknown.unknown.unknown' [type=union_tag_invalid, input_value={'key': 'df7115c0-ca4c-4c...ed', 'variant': 'turbo'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/union_tag_invalid

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lstein commented Feb 1, 2026 •
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I can confirm that Z-Image Base (Diffusers):

  • Installs correctly
  • Variant is recognized correctly as "Z-Image Base"
  • Steps and CFG default to appropriate values
  • txt2img working
  • img2img working
  • Inpaint working
  • Outpaint working
  • Only Heun and Euler schedulers are shown
  • ❌ ZiT LoRAs are working with ZiB -- Produces a fractured image
  • ❌ Standalone denoiser .safetensors version installs -- Produces a pydantic validation error

I was unable to test whether the LCM scheduler reappears when a turbo model is installed due to the earlier issues with turbo model validation errors.

@Pfannkuchensack
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Pfannkuchensack commented Feb 1, 2026

ZiT LoRAs are working with ZiB -- Produces a fractured image

That is to be expected

Standalone denoiser .safetensors version installs -- Produces a pydantic validation error

i will take a look

The zimage Turbo models should be getting a variant with the migration. Do you have the startup log?

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lstein commented Feb 1, 2026

The zimage Turbo models should be getting a variant with the migration. Do you have the startup log?

See Problem 1 and Problem 2 in the earlier comment for the error log startup messages. Let me know if you need more.

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skunkworxdark commented Feb 1, 2026

I reported the same issue on Discord the other day; I should have posted it here in the first place. Here is a link to the log I pasted in Discord.

https://discord.com/channels/1020123559063990373/1083864753543331981/1466506983627686062

Another example taken today using the db after updating to the latest release 6.11.0

[2026-02-01 13:11:55,731]::[InvokeAI]::WARNING --> Skipping invalid model config in the database with name Z-Image Turbo (Q8). Ignoring this model. ({"key": "7e351a8a-1201-4fd4-8b44-cb2c3672cbf7", "hash": "random:...)
[2026-02-01 13:11:55,731]::[InvokeAI]::WARNING --> Validation error: 1 validation error for tagged-union[Main_Diffusers_SD1_Config,Main_Diffusers_SD2_Config,Main_Diffusers_SDXL_Config,Main_Diffusers_SDXLRefiner_Config,Main_Diffusers_SD3_Config,Main_Diffusers_FLUX_Config,Main_Diffusers_Flux2_Config,Main_Diffusers_CogView4_Config,Main_Diffusers_ZImage_Config,Main_Checkpoint_SD1_Config,Main_Checkpoint_SD2_Config,Main_Checkpoint_SDXL_Config,Main_Checkpoint_SDXLRefiner_Config,Main_Checkpoint_Flux2_Config,Main_Checkpoint_FLUX_Config,Main_Checkpoint_ZImage_Config,Main_BnBNF4_FLUX_Config,Main_GGUF_Flux2_Config,Main_GGUF_FLUX_Config,Main_GGUF_ZImage_Config,VAE_Checkpoint_SD1_Config,VAE_Checkpoint_SD2_Config,VAE_Checkpoint_SDXL_Config,VAE_Checkpoint_FLUX_Config,VAE_Checkpoint_Flux2_Config,VAE_Diffusers_SD1_Config,VAE_Diffusers_SDXL_Config,VAE_Diffusers_Flux2_Config,ControlNet_Checkpoint_SD1_Config,ControlNet_Checkpoint_SD2_Config,ControlNet_Checkpoint_SDXL_Config,ControlNet_Checkpoint_FLUX_Config,ControlNet_Checkpoint_ZImage_Config,ControlNet_Diffusers_SD1_Config,ControlNet_Diffusers_SD2_Config,ControlNet_Diffusers_SDXL_Config,ControlNet_Diffusers_FLUX_Config,LoRA_LyCORIS_SD1_Config,LoRA_LyCORIS_SD2_Config,LoRA_LyCORIS_SDXL_Config,LoRA_LyCORIS_FLUX_Config,LoRA_LyCORIS_ZImage_Config,LoRA_OMI_SDXL_Config,LoRA_OMI_FLUX_Config,LoRA_Diffusers_SD1_Config,LoRA_Diffusers_SD2_Config,LoRA_Diffusers_SDXL_Config,LoRA_Diffusers_FLUX_Config,LoRA_Diffusers_ZImage_Config,ControlLoRA_LyCORIS_FLUX_Config,T5Encoder_T5Encoder_Config,T5Encoder_BnBLLMint8_Config,Qwen3Encoder_Qwen3Encoder_Config,Qwen3Encoder_Checkpoint_Config,Qwen3Encoder_GGUF_Config,TI_File_SD1_Config,TI_File_SD2_Config,TI_File_SDXL_Config,TI_Folder_SD1_Config,TI_Folder_SD2_Config,TI_Folder_SDXL_Config,IPAdapter_InvokeAI_SD1_Config,IPAdapter_InvokeAI_SD2_Config,IPAdapter_InvokeAI_SDXL_Config,IPAdapter_Checkpoint_SD1_Config,IPAdapter_Checkpoint_SD2_Config,IPAdapter_Checkpoint_SDXL_Config,IPAdapter_Checkpoint_FLUX_Config,T2IAdapter_Diffusers_SD1_Config,T2IAdapter_Diffusers_SDXL_Config,Spandrel_Checkpoint_Config,CLIPEmbed_Diffusers_G_Config,CLIPEmbed_Diffusers_L_Config,CLIPVision_Diffusers_Config,SigLIP_Diffusers_Config,FLUXRedux_Checkpoint_Config,LlavaOnevision_Diffusers_Config,Unknown_Config]
  Input tag 'main.gguf_quantized.z-image' found using get_model_discriminator_value() does not match any of the expected tags: 'main.diffusers.sd-1', 'main.diffusers.sd-2', 'main.diffusers.sdxl', 'main.diffusers.sdxl-refiner', 'main.diffusers.sd-3', 'main.diffusers.flux', 'main.diffusers.flux2', 'main.diffusers.cogview4', 'main.diffusers.z-image', 'main.checkpoint.sd-1', 'main.checkpoint.sd-2', 'main.checkpoint.sdxl', 'main.checkpoint.sdxl-refiner', 'main.checkpoint.flux2', 'main.checkpoint.flux', 'main.checkpoint.z-image.turbo', 'main.bnb_quantized_nf4b.flux', 'main.gguf_quantized.flux2', 'main.gguf_quantized.flux', 'main.gguf_quantized.z-image.turbo', 'vae.checkpoint.sd-1', 'vae.checkpoint.sd-2', 'vae.checkpoint.sdxl', 'vae.checkpoint.flux', 'vae.checkpoint.flux2', 'vae.diffusers.sd-1', 'vae.diffusers.sdxl', 'vae.diffusers.flux2', 'controlnet.checkpoint.sd-1', 'controlnet.checkpoint.sd-2', 'controlnet.checkpoint.sdxl', 'controlnet.checkpoint.flux', 'controlnet.checkpoint.z-image', 'controlnet.diffusers.sd-1', 'controlnet.diffusers.sd-2', 'controlnet.diffusers.sdxl', 'controlnet.diffusers.flux', 'lora.lycoris.sd-1', 'lora.lycoris.sd-2', 'lora.lycoris.sdxl', 'lora.lycoris.flux', 'lora.lycoris.z-image', 'lora.omi.sdxl', 'lora.omi.flux', 'lora.diffusers.sd-1', 'lora.diffusers.sd-2', 'lora.diffusers.sdxl', 'lora.diffusers.flux', 'lora.diffusers.z-image', 'control_lora.lycoris.flux', 't5_encoder.t5_encoder.any', 't5_encoder.bnb_quantized_int8b.any', 'qwen3_encoder.qwen3_encoder.any', 'qwen3_encoder.checkpoint.any', 'qwen3_encoder.gguf_quantized.any', 'embedding.embedding_file.sd-1', 'embedding.embedding_file.sd-2', 'embedding.embedding_file.sdxl', 'embedding.embedding_folder.sd-1', 'embedding.embedding_folder.sd-2', 'embedding.embedding_folder.sdxl', 'ip_adapter.invokeai.sd-1', 'ip_adapter.invokeai.sd-2', 'ip_adapter.invokeai.sdxl', 'ip_adapter.checkpoint.sd-1', 'ip_adapter.checkpoint.sd-2', 'ip_adapter.checkpoint.sdxl', 'ip_adapter.checkpoint.flux', 't2i_adapter.diffusers.sd-1', 't2i_adapter.diffusers.sdxl', 'spandrel_image_to_image.checkpoint.any', 'clip_embed.diffusers.any.gigantic', 'clip_embed.diffusers.any.large', 'clip_vision.diffusers.any', 'siglip.diffusers.any', 'flux_redux.checkpoint.flux', 'llava_onevision.diffusers.any', 'unknown.unknown.unknown' [type=union_tag_invalid, input_value={'key': '7e351a8a-1201-4f...ed', 'variant': 'turbo'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/union_tag_invalid

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