Instructions to use piczify/rosmxVid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use piczify/rosmxVid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("piczify/rosmxVid") prompt = "rosmx" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add rosmxVid.safetensors
Browse files- rosmxVid.safetensors +3 -0
rosmxVid.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:60557a5cd2fe9f15ca98210593e997e5d9dd699206599a8a0c238a324a10a579
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size 322519480
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