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 checkpoint-9000/optimizer.bin from TE2G/aran: direct link, hf CLI and curl.
- Browser
- Download file 9.6 MB
-
https://huggingface.co/TE2G/aran/resolve/main/checkpoint-9000/optimizer.bin
- Command line
-
hf download hf://TE2G/aran/checkpoint-9000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TE2G/aran/resolve/main/checkpoint-9000/optimizer.bin
9.6 MB
- Xet hash:
- ce3eb5fe1e0ea2a61c9a124dc663a31ed5ec3e05c2a62edb74d7c4c18a09ab8c
- Size of remote file:
- 9.6 MB
- SHA256:
- 48f3b10fdd61f0fe521d3e2f55ee0b5c3197ffcb623b74fcd69a5f979694cb07
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