Instructions to use wolfer45/dildorevealhigh-wan22-i2v-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/dildorevealhigh-wan22-i2v-v1 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/dildorevealhigh-wan22-i2v-v1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/538277491_24622514807360171_6561907489047678575_n_crop.jpg
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Git LFS Details
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wan_2.2_i2v_highnoise_dildo_reveal_v1.0.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ab9e1761468b3c2536b07e2f7e022e291344c73ec66c6b5669bae781f20df72
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size 306807976
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