Instructions to use alomovel/ftitov-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alomovel/ftitov-style 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("alomovel/ftitov-style") prompt = "A majestic snow leopard leaping across a jagged mountain crevasse during a swirling blizzard, ftitov_style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 23ad3208090287c912c94dcf549c722c8527a2eba8359449e22c63b57eeff7e3
- Size of remote file:
- 1.7 MB
- SHA256:
- 6785ecd234be4ce73a02c5f3ec5fdd6adc70aa7a28aa3b79d0cafe5e9b923f1d
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