Instructions to use minpeter/my_first_lora_v1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minpeter/my_first_lora_v1-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("minpeter/my_first_lora_v1-lora") prompt = "anime" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload my_first_lora_v1.safetensors with huggingface_hub
Browse files
my_first_lora_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c374756ce5d93c5eb122c4aa230e84d2ec09da191f913eb9c7512e8bfb9ad2bd
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size 343806432
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