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

- Xet hash:
- 0c262dc8751ac4bd0a064309b7a3b79b2ec1c5565fbed61c5c1f6d6514667271
- Size of remote file:
- 1.1 MB
- SHA256:
- 391f1d42a6927442c77a3ca9331265a4b06a2cded180499b2c1f6eb56ea65475
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