Instructions to use DAKARA555/test6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/test6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DAKARA555/test6") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from DAKARA555/test6: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/DAKARA555/test6/resolve/main/README.md
- Command line
-
hf download hf://DAKARA555/test6/README.md
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curl -L -o README.md https://huggingface.co/DAKARA555/test6/resolve/main/README.md
421 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/IMG_9514.PNG
base_model: Wan-AI/Wan2.1-I2V-14B-480P
instance_prompt: null
license: apache-2.0
test6
- Prompt
- -
Model description
test6
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.