Instructions to use aimalias/t355a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/t355a 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/t355a") prompt = "A cinematic wide shot of T355A woman exploring a bioluminescent neon jungle with glowing floating flora and iridescent wildlife." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f59ced280d0efde96498470c53b1e8130e5533ad06b24c7805fcaa3bbf0370a5
- Size of remote file:
- 195 MB
- SHA256:
- f574198866e1cf04f1a5de0b85bd57d2288c1d2fae5ac5459237e36244ad0b8c
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