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:
- 8b567b13ad98e3f0e75ed979a8ac2e627bb1b744a1d85c4dff81ab9fdd2afc35
- Size of remote file:
- 47.4 MB
- SHA256:
- 0ceefd0b836e5a4788997bd4a5705f8e9c88f3bcd8b0e09a815fc4554043897c
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