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I trained these Motion Lora´s because of this bounty.
You will not find any copyrights or watermarks in your results, i have trained these models with my own videos.
I can recommend to experiment with strengh of Motion Lora and Motion Scale + diffrent checkpoints.
Got the best results with
AnimateDiff Model: AnimateLCM_sd15_t2v (trained with this Model)
Motion Lora strength: 0.4-0.8
Motion Scale 1.05 - 1.10
Also try without loops, this can influence the results.
Description
FAQ
Comments (1)
Hi!
I'm getting errors no matter what I try! I saw one YouTube tutorial using them, followed the instructions and no....
Was trying to find the answer for the last 2 days but no luck.
So I try here, hopefully someone can help!
So this is the error message I'm getting:
...
loading network C:\Users\XY\stable-diffusion-webui\models\Lora\v2_lora_ZoomIn.ckpt: AssertionError
Traceback (most recent call last):
File "C:\Users\XY\stable-diffusion-webui\extensions-builtin\Lora\networks.py", line 321, in load_networks
net = load_network(name, network_on_disk)
File "C:\Users\XY\stable-diffusion-webui\extensions-builtin\Lora\networks.py", line 254, in load_network
raise AssertionError(f"Could not find a module type (out of {', '.join([x.class.name for x in module_types])}) that would accept those keys: {', '.join(weights.w)}")
AssertionError: Could not find a module type (out of ModuleTypeLora, ModuleTypeHada, ModuleTypeIa3, ModuleTypeLokr, ModuleTypeFull, ModuleTypeNorm, ModuleTypeGLora, ModuleTypeOFT) that would accept those keys: 0.motion_modules.0.temporal_transformer.transformer_blocks.0.attention_blocks.0.processor.to_q_lora.down.weight, 0.motion_modules.0.temporal_transformer.transformer_blocks.0.attention_blocks.0.processor.to_q_lora.up.weight, 0.motion_modules.0.temporal_transformer.transformer_blocks.0.attention_blocks.0.processor.to_k_lora.down.weight,
...
Thank you!!