Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use TE2G/aran_c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/aran_c 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TE2G/aran_c") prompt = "aran pullover knit sweater, mannequin, torso" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-6000/optimizer.bin from TE2G/aran_c: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/TE2G/aran_c/resolve/main/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://TE2G/aran_c/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TE2G/aran_c/resolve/main/checkpoint-6000/optimizer.bin
47.4 MB
- Xet hash:
- 58f60a7186e7754d99e5e6a7c15fbb7d4bbd3a4c125a2935e324da5f6361878a
- Size of remote file:
- 47.4 MB
- SHA256:
- 86f43eb32eb06c5b1300f28579f786ecace364d50d67b4b38cd25226cc63e01a
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