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tags:
- text-to-video
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
license: creativeml-openrail-m
inference:
parameters:
width: 1024
height: 1024
instance_prompt: CosmikR
---
# Cosmik-lora
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
## Trigger words
You should use `CosmikR` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](visionmaster2/Cosmik-lora/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('visionmaster2/Cosmik-lora', weight_name='Cosmik_low_noise.safetensors')
image = pipeline('CosmikR').images[0]
image.save("my_image.png")
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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