Instructions to use nhero/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nhero/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nhero/model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 249e57ed6329953835ba5308241cbb43b10a0b162cd8eb0d7f8b0406c37a7249
- Size of remote file:
- 47.4 MB
- SHA256:
- 48c465046f76d7980ed7316e8ae30d495e64ae67f10711ea31c3dc911d8dd42c
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