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
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https://huggingface.co/wolfer45/deepthroatV2-Low-i2v/resolve/main/README.md
- Command line
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hf download hf://wolfer45/deepthroatV2-Low-i2v/README.md
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curl -L -o README.md https://huggingface.co/wolfer45/deepthroatV2-Low-i2v/resolve/main/README.md
556 Bytes
| 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 | |
| <Gallery /> | |
| ## Model description | |
| deepthroatV2-Low-i2v | |
| ## Trigger words | |
| You should use `deepthroatV2-Low-i2v` to trigger the image generation. | |
| ## Download model | |
| [Download](/wolfer45/deepthroatV2-Low-i2v/tree/main) them in the Files & versions tab. | |