Instructions to use SceneWorks/Lens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/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("SceneWorks/Lens", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download model_index.json from SceneWorks/Lens: direct link, hf CLI and curl.
- Browser
- Download file 350 Bytes
-
https://huggingface.co/SceneWorks/Lens/resolve/main/model_index.json
- Command line
-
hf download hf://SceneWorks/Lens/model_index.json
-
curl -L -o model_index.json https://huggingface.co/SceneWorks/Lens/resolve/main/model_index.json
350 Bytes
| { | |
| "_class_name": "LensPipeline", | |
| "_diffusers_version": "0.36.0", | |
| "scheduler": ["diffusers", "FlowMatchEulerDiscreteScheduler"], | |
| "text_encoder": ["transformers", "GptOssModel"], | |
| "tokenizer": ["transformers", "PreTrainedTokenizerFast"], | |
| "transformer": ["diffusers", "LensTransformer2DModel"], | |
| "vae": ["diffusers", "AutoencoderKLFlux2"] | |
| } | |