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    VAE_RealAniMark - VAE_RealAniMark
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    Model for exclusive use on RealAniMark. Its use is not mandatory but it accentuates the compositions.

    Checkpoint: https://civarchive.com/models/213348/realanimark

    Description

    Model for exclusive use on RealAniMark. Its use is not mandatory but it accentuates the compositions.

    Checkpoint: https://civitai.com/models/213348/realanimark

    FAQ

    Comments (22)

    Quetzal127Nov 27, 2023· 2 reactions
    CivitAI

    When I load this as vae, I get Unexpected key(s) in state_dict: "lora_te_text_model_encoder_layers_0_mlp_fc1.alpha",

    MarcosDesign
    Author
    Nov 27, 2023

    I don't know what happens, but on my machine there are no errors. Need to review your hardware settings

    neonentrNov 27, 2023

    @MarcosDesign comfyui, a1111, invokeai. no errors. works good

    iamtherealian001Nov 27, 2023

    It's a Lora. Quite a nice one to be fair.

    MegasherruNov 28, 2023· 1 reaction

    @iamtherealian001 Its a Lora? soo- you dont put it along with your other Vae?

    iamtherealian001Nov 28, 2023· 3 reactions

    @Megasherru 

    It's both::

    Statistics

    Total keys: 466 (359.61 MB), Useless keys: 216 (40.50 MB), Unknown keys: 2 (8 Bytes).

    Architecture

    VAE-v1

    VAE-v1

    VAE-v1-SD

    Additional

    LoRA-v1-CLIP

    LoRA-v1-CLIP

    LoRA-v1A-CLIP

    Rejected

    LoRA-v1: Missing required classes

    LoRA-v1-UNET

    Unknown

    model_ema.decay []

    model_ema.num_updates []

    They've got a VAE embedded in a LORA. Or the other way around. You can load the LORA part in the prompt but I don't think that is what is intended. It gets rejected as a VAE by my A1111 set-up because it detects the LORA part and throws the error message.

    Either they've set up to by-pass the error or the error message is being suppressed and it's defaulting to the Realanimark models internal VAE.

    TL:DR

    Works like a LORA, can't get VAE to work right now and probably not worth it. The LORA seems to work as a nice little 2D to 2.5D "sexiness" slider, needs pruning.

    UPDATE

    Went ahead and separated everything anyway, the VAE is the standard 840000 version.

    SuzanneNov 27, 2023· 4 reactions
    CivitAI

    which model is it for? because it doesn't work....

    some explanations would have been nice.

    Thanks

    MarcosDesign
    Author
    Nov 27, 2023· 2 reactions

    Model for exclusive use on RealAniMark. Its use is not mandatory but it accentuates the compositions.

    Checkpoint: https://civitai.com/models/213348/realanimark

    m99Nov 27, 2023

    @MarcosDesign It appears you've mislabeled a LORA as a VAE. They are completely different types of models. A Lora modifies your text encoder and unet weights (used for interpreting your prompt and running the denoising steps respectively). A VAE is the model that converts the finished latent image into an rgb image (or encodes an image to a latent for img2img).

    MarcosDesign
    Author
    Nov 27, 2023

    @m99 It's not about Lora. I use it as a VAE and not as a Lora. It works on my machine correctly.

    SuzanneNov 27, 2023

    @MarcosDesign thank you for your reply.

    I couldn't have guessed.

    SuzanneNov 29, 2023· 1 reaction

    @MarcosDesign Does not work on A1111 😒

    zaadsatanNov 28, 2023· 3 reactions
    CivitAI

    Saw some comments about using it as LoRA, I'm also having to do this. When loading it as VAE, it errors.

    GamarjobsonNov 29, 2023· 4 reactions
    CivitAI

    RuntimeError: "log_vml_cpu" not implemented for 'Half'

    BlueWalkingDec 19, 2023· 4 reactions
    CivitAI

    this is not vae, vae's usually end with .ckpt. please fix it

    LyrinamiDec 22, 2023· 3 reactions

    This is not true. They can be distributed as .ckpt files, but as .safetensors files as well. The latter is safer, btw.

    BlueWalkingDec 23, 2023

    its true , heres the error it gives. RuntimeError: Error(s) in loading state_dict for AutoencoderKL:

    Unexpected key(s) in state_dict: "lora_te_text_model_encoder_layers_0_mlp_fc1.alpha", "lora_te_text_model_encoder_layers_0_mlp_fc1.lora_down.weight", "lora_te_text_model_encoder_layers_0_mlp_fc1.lora_up.weight", "lora_te_text_model_encoder_layers_0_mlp_fc2.alpha", "lora_te_text_model_encoder_layers_0_mlp_fc2.lora_down.weight", "lora_te_text_model_encoder_layers_0_mlp_fc2.lora_up.weight", "lora_te_text_model_encoder_layers_0_self_attn_k_proj.alpha", "lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight", "lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_up.weight", "lora_te_text_model_encoder_layers_0_self_attn_out_proj.alpha", "lora_te_text_model_encoder_layers_0_self_attn_out_proj.lora_down.weight", "lora_te_text_model_encoder_layers_0_self_attn_out_proj.lora_up.weight", "lora_te_text_model_encoder_layers_0_self_attn_q_proj.alpha", "lora_te_text_model_encoder_layers_0_self_attn_q_proj.lora_down.weight", "lora_te_text_model_encoder_layers_0_self_attn_q_proj.lora_up.weight", "lora_te_text_model_encoder_layers_0_self_attn_v_proj.alpha", "lora_te_text_model_encoder_layers_0_self_attn_v_proj.lora_down.weight", "lora_te_text_model_encoder_layers_0_self_attn_v_proj.lora_up.weight", "lora_te_text_model_encoder_layers_10_mlp_fc1.alpha", "lora_te_text_model_encoder_layers_10_mlp_fc1.lora_down.weight", "lora_te_text_model_encoder_layers_10_mlp_fc1.lora_up.weight", "lora_te_text_model_encoder_layers_10_mlp_fc2.alpha", "lora_te_text_model_encoder_layers_10_mlp_fc2.lora_down.weight", "lora_te_text_model_encoder_layers_10_mlp_fc2.lora_up.weight", "lora_te_text_model_encoder_layers_10_self_attn_k_proj.alpha", "lora_te_text_model_encoder_layers_10_self_attn_k_proj.lora_down.weight", "lora_te_text_model_encoder_layers_10_self_attn_k_proj.lora_up.weight", "lora_te_text_model_encoder_layers_10_self_attn_out_proj.alpha", "lora_te_text_model_encoder_layers_10_self_attn_out_proj.lora_down.weight", "lora_te_text_model_encoder_layers_10_self_attn_out_proj.lora_up.weight", "lora_te_text_model_encoder_layers_10_self_attn_q_proj.alpha", "lora_te_text_model_encoder_layers_10_self_attn_q_proj.lora_down.weight", "lora_te_text_model_encoder_layers_10_self_attn_q_proj.lora_up.weight", "lora_te_text_model_encoder_layers_10_self_attn_v_proj.alpha", "lora_te_text_model_encoder_layers_10_self_attn_v_proj.lora_down.weight", "lora_te_text_model_encoder_layers_10_self_attn_v_proj.lora_up.weight", "lora_te_text_model_encoder_layers_11_mlp_fc1.alpha", "lora_te_text_model_encoder_layers_11_mlp_fc1.lora_down.weight", "lora_te_text_model_encoder_layers_11_mlp_fc1.lora_up.weight", "lora_te_text_model_encoder_layers_11_mlp_fc2.alpha", "lora_te_text_model_encoder_layers_11_mlp_fc2.lora_down.weight", "lora_te_text_model_encoder_layers_11_mlp_fc2.lora_up.weight", "lora_te_text_model_encoder_layers_11_self_attn_k_proj.alpha", "lora_te_text_model_encoder_layers_11_self_attn_k_proj.lora_down.weight", "lora_te_text_model_encoder_layers_11_self_attn_k_proj.lora_up.weight", "lora_te_text_model_encoder_layers_11_self_attn_out_proj.alpha", "lora_te_text_model_encoder_layers_11_self_attn_out_proj.lora_down.weight", "lora_te_text_model_encoder_layers_11_self_attn_out_proj.lora_up.weight", "lora_te_text_model_encoder_layers_11_self_attn_q_proj.alpha", "lora_te_text_model_encoder_layers_11_self_attn_q_proj.lora_down.weight", "lora_te_text_model_encoder_layers_11_self_attn_q_proj.lora_up.weight", "lora_te_text_model_encoder_layers_11_self_attn_v_proj.alpha", "lora_te_text_model_encoder_layers_11_self_attn_v_proj.lora_down.weight", "lora_te_text_model_encoder_layers_11_self_attn_v_proj.lora_up.weight", "lora_te_text_model_encoder_layers_1_mlp_fc1.alpha", "lora_te_text_model_encoder_layers_1_mlp_fc1.lora_down.weight", "lora_te_text_model_encoder_layers_1_mlp_fc1.lora_up.weight", "lora_te_text_model_encoder_layers_1_mlp_fc2.alpha", "lora_te_text_model_encoder_layers_1_mlp_fc2.lora_down.weight", 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"lora_te_text_model_encoder_layers_9_self_attn_out_proj.alpha", "lora_te_text_model_encoder_layers_9_self_attn_out_proj.lora_down.weight", "lora_te_text_model_encoder_layers_9_self_attn_out_proj.lora_up.weight", "lora_te_text_model_encoder_layers_9_self_attn_q_proj.alpha", "lora_te_text_model_encoder_layers_9_self_attn_q_proj.lora_down.weight", "lora_te_text_model_encoder_layers_9_self_attn_q_proj.lora_up.weight", "lora_te_text_model_encoder_layers_9_self_attn_v_proj.alpha", "lora_te_text_model_encoder_layers_9_self_attn_v_proj.lora_down.weight", "lora_te_text_model_encoder_layers_9_self_attn_v_proj.lora_up.weight".

    @BlueWalking your install is messed up....

    ess__Jan 11, 2024

    @omegablast20023899 any solution for this?

    PanBacchusJan 31, 2024

    could be .safetensors. But it's not clear that it's

    axicecFeb 19, 2024· 2 reactions

    Its amazing how far people get with trashy SD installs. No matter how many free support resources they just constantly shout at you and proceed to post verbose like it'll change things

    BlueWalkingFeb 19, 2024· 1 reaction

    @axicec welp, ive tried 5 or 6 different vaes, including one with safetoners as well and still it was corrupted back then. ill try it again but its not about source or smth lol