Instructions to use wangfuyun/AnimateLCM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangfuyun/AnimateLCM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangfuyun/AnimateLCM", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Please help A1111
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!!