Instructions to use aimalias/h1t0m1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/h1t0m1 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/h1t0m1") prompt = "A cinematic shot of a H1T0M1 woman wearing holographic armor, standing amidst the neon-drenched skyscrapers of a futuristic cyberpunk Tokyo." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d0b6effac904395a0d83495e82d9a117c860c616adae3c032e7271e90b3a0034
- Size of remote file:
- 1.27 MB
- SHA256:
- e603aef178dcc7088bf1f9395180c7323e2a2044b0b877dfe4639d4053c9330e
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