Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use wintergrey/nterg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wintergrey/nterg 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("wintergrey/nterg") prompt = "A photo of <s0><s1> a man with a ponytail wearing a black shirt" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- c6957882f96e31e13e789a2b629161e5470d3afd6287ab9a7e7994c0f04e8b42
- Size of remote file:
- 1.1 MB
- SHA256:
- fc1c536f0841446ae1ec854ade2c064018c1fa38d026759d3b3bf99ff8cbe8f3
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