Text-to-Image
Diffusers
TensorBoard
diffusers-training
sd3
sd3-diffusers
template:sd-lora
lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use TE2G/aran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/aran 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-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TE2G/aran") prompt = "A photo of aran knit pullover on a mannequin or torso" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-10000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3500
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- checkpoint-5500
- checkpoint-6000
- checkpoint-6500
- checkpoint-7000
- checkpoint-7500
- checkpoint-8000
- checkpoint-8500
- checkpoint-9000
- checkpoint-9500
- logs
- 1.71 kB
- 1.92 kB
- 1.34 MB xet
- 1.24 MB xet
- 1.11 MB xet
- 1.1 MB xet
- 23.4 MB xet