Instructions to use guillekenzo/aros-994ab152-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/aros-994ab152-R with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("guillekenzo/aros-994ab152-R") prompt = "A photo of ggfv person on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_2.png from guillekenzo/aros-994ab152-R: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/guillekenzo/aros-994ab152-R/resolve/main/sample_2.png
- Command line
-
hf download hf://guillekenzo/aros-994ab152-R/sample_2.png
-
curl -L -o sample_2.png https://huggingface.co/guillekenzo/aros-994ab152-R/resolve/main/sample_2.png
1.39 MB

- Xet hash:
- 2d00b8a59613a3c1390037bfee148cb568d500f1bf51cfad8ef786368046da85
- Size of remote file:
- 1.39 MB
- SHA256:
- 9fb546eb22f1e5d62720cf489d99d60e39aa875e8b40f8645745ed441911a39d
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