Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use crydamour/yayatraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crydamour/yayatraining with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("crydamour/yayatraining") prompt = "A photo of <s0><s1> yaya" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by crydamour - opened
Generated example for model crydamour/yayatraining.
Prompt: A high-fashion magazine cover shot of TOK person, 3/4 angle pose, wearing a tailored charcoal suit, elegant vintage interior, warm ambient lamp light combined with window light, regal and sophisticated atmosphere, 8k resolution, sharp details.
crydamour changed pull request status to closed