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:
- 828858a0205d8b3f33b2d3f812762a2493bc75e48fd73698b6615f59664043d8
- Size of remote file:
- 195 MB
- SHA256:
- 4a8bb9eb356ae7bed4ae0af5796c1e5ff84d1020204672cff8bb40d63c17f71e
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