Instructions to use wolfer45/deepthroatV2-Low-i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/deepthroatV2-Low-i2v with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/deepthroatV2-Low-i2v") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from wolfer45/deepthroatV2-Low-i2v: direct link, hf CLI and curl.
- Browser
- Download file 556 Bytes
-
https://huggingface.co/wolfer45/deepthroatV2-Low-i2v/resolve/main/README.md
- Command line
-
hf download hf://wolfer45/deepthroatV2-Low-i2v/README.md
-
curl -L -o README.md https://huggingface.co/wolfer45/deepthroatV2-Low-i2v/resolve/main/README.md
556 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/538277491_24622514807360171_6561907489047678575_n_crop.jpg
text: '-'
base_model: ostris/wan22_i2v_14b_orbit_shot_lora
instance_prompt: deepthroatV2-Low-i2v
deepthroatV2-Low-i2v

- Prompt
- -
Model description
deepthroatV2-Low-i2v
Trigger words
You should use deepthroatV2-Low-i2v to trigger the image generation.
Download model
Download them in the Files & versions tab.