Instructions to use ttrishhr/anik0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ttrishhr/anik0 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ttrishhr/anik0") prompt = "wa" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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anik0.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a31ee2e5c7e39e80339515c03f586b47fb8e99c6b91a1444aaf36276114ed678
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size 306808344
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images/ixsLq9T8HYquE4_HR6TPd_upscaled.png
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Git LFS Details
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