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

- Xet hash:
- a54736f807937197d2f94ec9cfe30cbf175e5b224ac59e871dd924976ac9e8fe
- Size of remote file:
- 1.34 MB
- SHA256:
- 2affd02d9edf77bfa69650f0722e4d137fa05c00f1e1db6f2b1c6db7c4a6e628
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