Instructions to use byoungsuk/iu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use byoungsuk/iu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("byoungsuk/iu") prompt = "girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" with value "/content/gdrive/MyDrive/AI/checkpoint/majicmixFantasy_v20" is not valid. Use a model id from https://hf.co/models.
LoRA DreamBooth - byoungsuk/iu
These are LoRA adaption weights for /content/gdrive/MyDrive/AI/checkpoint/majicmixFantasy_v20. The weights were trained on girl using DreamBooth. You can find some example images in the following.
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