Instructions to use habulaj/teste with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use habulaj/teste 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("habulaj/teste") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-10/optimizer.bin from habulaj/teste: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/habulaj/teste/resolve/main/checkpoint-10/optimizer.bin
- Command line
-
hf download hf://habulaj/teste/checkpoint-10/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/habulaj/teste/resolve/main/checkpoint-10/optimizer.bin
15 MB
- Xet hash:
- 6476ef93ab7424d6cdbc961386371ec7b6b501f11d38ad969fff15c7dfb7ac7c
- Size of remote file:
- 15 MB
- SHA256:
- 4312ceb7f165da233b7d5857742928c4ace6899031a7003d0eb869a344aa5dcc
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