Instructions to use emte/your-model-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emte/your-model-name with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emte/your-model-name", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "StableDiffusionPipeline", | |
| "_diffusers_version": "0.24.0", | |
| "model_type": "stable-diffusion", | |
| "base_model": "runwayml/stable-diffusion-v1-5", | |
| "inference": true, | |
| "model_format": "safetensors", | |
| "model_file": "fluxV6.6.safetensors" | |
| } |