Instructions to use transferfilez/tipper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use transferfilez/tipper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DFloat11/Wan2.1-T2V-14B-Diffusers-DF11", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("transferfilez/tipper") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from transferfilez/tipper: direct link, hf CLI and curl.
- Browser
- Download file 532 Bytes
-
https://huggingface.co/transferfilez/tipper/resolve/main/README.md
- Command line
-
hf download hf://transferfilez/tipper/README.md
-
curl -L -o README.md https://huggingface.co/transferfilez/tipper/resolve/main/README.md
532 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/Screenshot 2025-06-21 002457.png
base_model: DFloat11/Wan2.1-T2V-14B-Diffusers-DF11
instance_prompt: tipper
Tipper

- Prompt
- -
Model description
Tipper lora
Trigger words
You should use tipper to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.