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_0.png from guillekenzo/aros-994ab152-R: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/guillekenzo/aros-994ab152-R/resolve/main/sample_0.png
- Command line
-
hf download hf://guillekenzo/aros-994ab152-R/sample_0.png
-
curl -L -o sample_0.png https://huggingface.co/guillekenzo/aros-994ab152-R/resolve/main/sample_0.png
1.4 MB

- Xet hash:
- 29d84a53c1b99dfe6ab8ddc0b555e60b7414315d432f6bdbe204c3cfc7de3ffe
- Size of remote file:
- 1.4 MB
- SHA256:
- d5ab20fc40aef98483ad3114f678bd5fab8807232fa66520fa99847f3a86e033
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