Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
diffusers-training
Instructions to use iamkaikai/FUI-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamkaikai/FUI-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iamkaikai/FUI-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:
- 4db3156eafe80bc053e6e6df77637c1e83abad0a389e368c6597cf821dc2e501
- Size of remote file:
- 6.59 MB
- SHA256:
- 84adf24bb4d8b883f2fb5b3b0a982f7de5c483b8912d2afb1aacbb1b638136b7
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