Instructions to use zjwfufu/SMD-Lens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjwfufu/SMD-Lens with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zjwfufu/SMD-Lens") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download examples/case.json from zjwfufu/SMD-Lens: direct link, hf CLI and curl.
- Browser
- Download file 249 Bytes
-
https://huggingface.co/zjwfufu/SMD-Lens/resolve/main/examples/case.json
- Command line
-
hf download hf://zjwfufu/SMD-Lens/examples/case.json
-
curl -L -o case.json https://huggingface.co/zjwfufu/SMD-Lens/resolve/main/examples/case.json
249 Bytes
| { | |
| "prompt": "A kraft paper parcel on a wooden table, partly open with a blue ceramic vase inside. A white shipping label on the box reads \"SMD\". Warm window light, natural product photography.", | |
| "seed": 42, | |
| "height": 1024, | |
| "width": 1024 | |
| } | |