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 Settings
- Draw Things
- DiffusionBee
Download image_1.png from TE2G/aran: direct link, hf CLI and curl.
- Browser
- Download file 1.24 MB
-
https://huggingface.co/TE2G/aran/resolve/main/image_1.png
- Command line
-
hf download hf://TE2G/aran/image_1.png
-
curl -L -o image_1.png https://huggingface.co/TE2G/aran/resolve/main/image_1.png
1.24 MB

- Xet hash:
- 368e97d070a756c872a61dec740988c6c1fabdeff1d44f96632e4e2b025b5790
- Size of remote file:
- 1.24 MB
- SHA256:
- 7306fa974bfbd732fecb7ea54e42dc6e7e7d8d8a0cd90bf4ca0867cb58d11351
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