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    InvictusRedmond - Stable Cascade Stage C Finetune - Generalist Model - v1.1 - Less training
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    If this model is useful to you, your support helps me keep publishing free models and open-source AI tools.

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    • Portfolio: artificialguy.com β€” models, projects, and experiments.

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    Invictus.Redmond is here!

    I'm grateful for the GPU time from Redmond.AI that allowed me to finish this model!

    This is a generalist model fine-tuned on Stable Cascade!

    The model has a high capacity to generate realistic, artistic images, cars, people, and a wide variety of themes. It's a versatile model.

    I really hope you like the model and use it.

    Description

    This version has less training. It shows better results than the base model and version V1.0, but is a little more similar to the original version of Stable Cascade.

    The model seems extremely sensitive to higher training runs even with low LR.

    FAQ

    Comments (11)

    blahblahsnahdahMar 2, 2024Β· 2 reactions
    CivitAI

    Nice work man, after cursory testing this seems to be the first Stage C finetune I've tried that's actually an upgrade over base. Small details are much less blobby and incoherent compared to base stage c.

    Also your model can generate objects. I like to try generating a wrench to test a model's coherence β€” base C struggles to generate a recognizable wrench, but yours doesn't.

    mackMar 5, 2024
    CivitAI

    Really great model. I plan to use this for the next while. Thanks.

    mashedmagicpotatoesMar 5, 2024Β· 3 reactions
    CivitAI

    How to use in Comfyui:

    1) Place downloaded model in comfyui's unet folder.

    2) Save the following text in a file (do NOT include the leading and trailing --> ```<-- symbols , rename as .json, load in comfyui, make sure to specify both model names, as the one in this file corresponds to how I've name the models on my machine:
    ```

    {"last_node_id":47,"last_link_id":120,"nodes":[{"id":46,"type":"Note","pos":[1622,360],"size":{"0":210,"1":73.69999694824219},"flags":{},"order":0,"mode":0,"properties":{"text":""},"widgets_values":["Stage a is what the VAE is called. It decodes the stage b latent into pixel space."],"color":"#432","bgcolor":"#653"},{"id":44,"type":"Note","pos":[931,418],"size":{"0":272.0986633300781,"1":138.81549072265625},"flags":{},"order":1,"mode":0,"properties":{"text":""},"widgets_values":["This is stage b where the low resolution stage c latent is passed to the stage b model as conditioning. Stage b takes the low resolution latent and upscales it to a higher resolution one. \n\n"],"color":"#432","bgcolor":"#653"},{"id":9,"type":"SaveImage","pos":[1864,269],"size":{"0":971.827392578125,"1":1000.2752075195312},"flags":{},"order":12,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":9}],"properties":{},"widgets_values":["ComfyUI"]},{"id":3,"type":"KSampler","pos":[552,293],"size":{"0":315,"1":262},"flags":{},"order":8,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":118,"slot_index":0},{"name":"positive","type":"CONDITIONING","link":107},{"name":"negative","type":"CONDITIONING","link":108},{"name":"latent_image","type":"LATENT","link":82}],"outputs":[{"name":"LATENT","type":"LATENT","links":[88],"slot_index":0}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[548417133970999,"randomize",20,4,"euler_ancestral","simple",1]},{"id":33,"type":"KSampler","pos":[1278,265],"size":{"0":315,"1":262},"flags":{},"order":10,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":113,"slot_index":0},{"name":"positive","type":"CONDITIONING","link":86},{"name":"negative","type":"CONDITIONING","link":117},{"name":"latent_image","type":"LATENT","link":83}],"outputs":[{"name":"LATENT","type":"LATENT","links":[98],"slot_index":0}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[1120880850824007,"randomize",10,1.1,"euler_ancestral","simple",1]},{"id":34,"type":"StableCascade_EmptyLatentImage","pos":[210,725],"size":{"0":315,"1":150},"flags":{},"order":2,"mode":0,"outputs":[{"name":"stage_c","type":"LATENT","links":[82],"shape":3,"slot_index":0},{"name":"stage_b","type":"LATENT","links":[83],"shape":3,"slot_index":1}],"properties":{"Node name for S&R":"StableCascade_EmptyLatentImage"},"widgets_values":[1024,1024,42,1]},{"id":36,"type":"StableCascade_StageB_Conditioning","pos":[960,240],"size":{"0":277.20001220703125,"1":46},"flags":{},"order":9,"mode":0,"inputs":[{"name":"conditioning","type":"CONDITIONING","link":116,"slot_index":0},{"name":"stage_c","type":"LATENT","link":88}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[86],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"StableCascade_StageB_Conditioning"}},{"id":7,"type":"CLIPTextEncode","pos":[96,528],"size":{"0":432,"1":96},"flags":{},"order":7,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":120}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[108,117],"slot_index":0}],"title":"CLIP Text Encode (Negative Prompt)","properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["text, watermark"],"color":"#322","bgcolor":"#533"},{"id":8,"type":"VAEDecode","pos":[1630,260],"size":{"0":210,"1":46},"flags":{},"order":11,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":98},{"name":"vae","type":"VAE","link":114,"slot_index":1}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0}],"properties":{"Node name for S&R":"VAEDecode"}},{"id":43,"type":"Note","pos":[-242,502],"size":{"0":287.48663330078125,"1":173.3572998046875},"flags":{},"order":3,"mode":0,"properties":{"text":""},"widgets_values":["This is stage c, the model generates a low resolution latent, the default compression of 42 means that the width and height of the stage c latent are 1024 divided by 42."],"color":"#432","bgcolor":"#653"},{"id":6,"type":"CLIPTextEncode","pos":[100,280],"size":{"0":432,"1":192},"flags":{},"order":6,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":119}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[107,116],"slot_index":0}],"title":"CLIP Text Encode (Positive Prompt)","properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["evening sunset scenery blue sky nature, glass bottle with a fizzy ice cold freezing rainbow liquid in it"],"color":"#232","bgcolor":"#353"},{"id":47,"type":"UNETLoader","pos":[-250,287],"size":{"0":315,"1":58},"flags":{},"order":4,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[118],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"UNETLoader"},"widgets_values":["invictusredmondStable_v11LessTraining.safetensors"]},{"id":42,"type":"CheckpointLoaderSimple","pos":[901,21],"size":[486.2307382812503,98],"flags":{},"order":5,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[113],"shape":3,"slot_index":0},{"name":"CLIP","type":"CLIP","links":[119,120],"shape":3,"slot_index":1},{"name":"VAE","type":"VAE","links":[114],"shape":3,"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["SD Cascade\\Official\\stable_cascade_stage_b.safetensors"]}],"links":[[9,8,0,9,0,"IMAGE"],[82,34,0,3,3,"LATENT"],[83,34,1,33,3,"LATENT"],[86,36,0,33,1,"CONDITIONING"],[88,3,0,36,1,"LATENT"],[98,33,0,8,0,"LATENT"],[107,6,0,3,1,"CONDITIONING"],[108,7,0,3,2,"CONDITIONING"],[113,42,0,33,0,"MODEL"],[114,42,2,8,1,"VAE"],[116,6,0,36,0,"CONDITIONING"],[117,7,0,33,2,"CONDITIONING"],[118,47,0,3,0,"MODEL"],[119,42,1,6,0,"CLIP"],[120,42,1,7,0,"CLIP"]],"groups":[{"title":"Stage B","bounding":[877,-63,736,662],"color":"#8A8","font_size":24},{"title":"Stage C","bounding":[-284,188,1159,491],"color":"#b06634","font_size":24}],"config":{},"extra":{},"version":0.4}

    ```

    xxlmaesMar 13, 2024

    hello not working?

    Error occurred when executing CheckpointLoaderSimple: 'model.diffusion_model.input_blocks.0.0.weight' File "/home/tobias/ComfyUI/execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/tobias/ComfyUI/execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/tobias/ComfyUI/execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/tobias/ComfyUI/nodes.py", line 540, in load_checkpoint out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/tobias/ComfyUI/comfy/sd.py", line 506, in load_checkpoint_guess_config model_config = model_detection.model_config_from_unet(sd, "model.diffusion_model.") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/tobias/ComfyUI/comfy/model_detection.py", line 193, in model_config_from_unet unet_config = detect_unet_config(state_dict, unet_key_prefix) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/tobias/ComfyUI/comfy/model_detection.py", line 77, in detect_unet_config model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0] ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

    Queue size: 0

    Extra options

    yofoton174609Mar 10, 2024
    CivitAI

    anyone managed to make it do text?

    stygianwizard42Mar 10, 2024
    CivitAI

    anyone know how to fix "Error occurred when executing CheckpointLoaderSimple: 'model.diffusion_model.input_blocks.0.0.weight'"?

    musicjianMar 22, 2024

    The method of loading the model is "UNET".

    Tundra1996May 4, 2024

    ya, this is a Unet Model, not a normal Checkpoint

    so you need to put it in your unet folder

    guahunyoMar 18, 2024
    CivitAI
    There are absolutely no East Asian beauties, such as Korean idols.Although I like your realism very much
    guahunyoMar 18, 2024
    I mean, none of the beauties from East Asia can be realistic. None of the beauties from East Asia are realistic.
    MoofiJun 11, 2024
    CivitAI

    Pleasant model. It letΒ΄s artistic styles come through quite a bit more compared to the base model, very welcomed here. :thumbsup: Thank you :-)

    Checkpoint
    Stable Cascade

    Details

    Downloads
    2,217
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/1/2024
    Updated
    8/11/2026
    Deleted
    -

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.