Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use ovedrive/stable-diffusion-v1-4-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/stable-diffusion-v1-4-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/stable-diffusion-v1-4-nf4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "quantization_method": "mixed_precision_nf4", | |
| "model_type": "sd", | |
| "description": "First and last blocks kept at bfloat16, middle layers quantized to NF4 (sd architecture)", | |
| "high_precision_layers_count": 99 | |
| } |