Instructions to use Momozarelle13/Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Momozarelle13/Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-RealismLora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Momozarelle13/Lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5dcdba0a30ea7fbdb39dfa971df35d7204173c541f46e9a807155cc351256c5a
- Size of remote file:
- 172 MB
- SHA256:
- e0ca130b807dfaa383643013b09ea78e5657cd7b601550c7aa35a9d3622d1d3f
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