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:
- 3c482bb5f77919a31f47d96642fdf94875197c7a2b4c60d76507bdaac7d0f7fa
- Size of remote file:
- 1.3 MB
- SHA256:
- dcf2bc14ed4f94a880e0754369c92e31059fd25bcb620176857af7a3f5c7617c
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