Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use aaronhandoko01/output_diffuex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aaronhandoko01/output_diffuex 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-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aaronhandoko01/output_diffuex") prompt = "a photo of MRI Prostate cancer Images" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 89a3ad6df3e4205df85e0928a06adaacf66fd856836ccc46beac48f0c0b25715
- Size of remote file:
- 1 kB
- SHA256:
- 1ff7e0081931acdf638a5b6dc6f89d270dc53395b51e189cd30a4b0fd9d14285
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