Instructions to use KLOWNZone23/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KLOWNZone23/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined,lkzd7/WAN2.2_LoraSet_NSFW", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KLOWNZone23/lora") prompt = "TOT" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
| tags: | |
| - flux | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - fal | |
| base_model: | |
| - undefined | |
| - lkzd7/WAN2.2_LoraSet_NSFW | |
| instance_prompt: TOT | |
| license: other | |
| datasets: | |
| - mess2735/wan2.2_lora | |
| language: | |
| - en | |
| metrics: | |
| - character | |
| new_version: lkzd7/WAN2.2_LoraSet_NSFW | |
| pipeline_tag: image-to-video | |
| library_name: diffusers | |
| # lora | |
| <Gallery /> | |
| ## Model description | |
| My lora model | |
| ## Trigger words | |
| You should use `TOT` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/faaj888/lora/tree/main) them in the Files & versions tab. | |
| ## Training at fal.ai | |
| Training was done using [fal.ai/models/fal-ai/turbo-flux-trainer](https://fal.ai/models/fal-ai/turbo-flux-trainer). |