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-4000/optimizer.bin from TE2G/aran: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/TE2G/aran/resolve/main/checkpoint-4000/optimizer.bin
- Command line
-
hf download hf://TE2G/aran/checkpoint-4000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TE2G/aran/resolve/main/checkpoint-4000/optimizer.bin
47.4 MB
- Xet hash:
- 19620f208d44fea0cd6f26fb616b42a951c54e3c6f9b41cfccdde7777f271a7c
- Size of remote file:
- 47.4 MB
- SHA256:
- 42c9c3799cba1e1c9edf94afa4393670e0920fcd56a649ffa0b2fa697c647637
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