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:
- 2a3be7142ff4367dbc629a50d451b88fdbd758ee3d516a00d4d5aff003d1fe36
- Size of remote file:
- 6.59 MB
- SHA256:
- cc0bd93c0fc31591e062f4fe5d0d73ba372fb765f0804dfcb1803a69218cb56a
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