Instructions to use Alex995647/loras-krea-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alex995647/loras-krea-2 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("Alex995647/loras-krea-2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
loras-krea-2 / krea2-textfusion-refusal-reduction-lora /Krea2_TextFusion_Refusal_Reduction.safetensors
Add 12 LoRA(s): slavekini-aka-slave-leia-outfit-clothing-krea2-anima-il, bartstyle-blue-archive-art-style-lora-anime-flat-color, 2000s-analog-core, granblue-fantasy-style…
e0135a7 verified - Xet hash:
- e928bedf3eca3edd6b758f727a34bd7c5ec280561c68c849fc45aa4e008ce10a
- Size of remote file:
- 27.7 MB
- SHA256:
- 84ec722ddab93f6489c5315bca25de5dd1a7b7ec5045a3c4ce2f97f62e54e8e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.