Instructions to use fabdream/any.high with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fabdream/any.high with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lopi999/Wan2.2-I2V_General-NSFW-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fabdream/any.high") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 456 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ab6af3b0-3b96-4576-978e-6ed21fb45232.png
text: '-'
base_model: lopi999/Wan2.2-I2V_General-NSFW-LoRA
instance_prompt: n4no4ny
license: mit
---
# any wan 2.2 high
<Gallery />
## Trigger words
You should use `n4no4ny` to trigger the image generation.
## Download model
[Download](/fabdream/any.high/tree/main) them in the Files & versions tab.
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