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
File size: 734 Bytes
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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). |