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-5000/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-5000/optimizer.bin
- Command line
-
hf download hf://TE2G/aran_c/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TE2G/aran_c/resolve/main/checkpoint-5000/optimizer.bin
47.4 MB
- Xet hash:
- fe4376e9705358d16ea2754658110fbda5d92133499f98b958f0b96c82582024
- Size of remote file:
- 47.4 MB
- SHA256:
- 94ed66d1412f21b9ed60003c02f5a28f49d33576ee3e59e8617e6158ffd057e1
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