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:
- d004340f9d1540552ed415f6a9f6dc98ee4087cc0a5597d1b166cf05e9726a77
- Size of remote file:
- 47.4 MB
- SHA256:
- ab63096ecac4f1f0f20b81a1879e9bf51db4129ae50a2df303e5368f67b82d83
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