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
Download image_0.png from iamkaikai/FUI-LORA: direct link, hf CLI and curl.
- Browser
- Download file 479 kB
-
https://huggingface.co/iamkaikai/FUI-LORA/resolve/main/image_0.png
- Command line
-
hf download hf://iamkaikai/FUI-LORA/image_0.png
-
curl -L -o image_0.png https://huggingface.co/iamkaikai/FUI-LORA/resolve/main/image_0.png
479 kB
