Instructions to use glif/LiDAR-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif/LiDAR-Vision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("glif/LiDAR-Vision") prompt = "a portrait of a necromancer with a group of skeletons posing behind him" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from glif/LiDAR-Vision: direct link, hf CLI and curl.
- Browser
- Download file 2.24 kB
-
https://huggingface.co/glif/LiDAR-Vision/resolve/main/README.md
- Command line
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hf download hf://glif/LiDAR-Vision/README.md
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curl -L -o README.md https://huggingface.co/glif/LiDAR-Vision/resolve/main/README.md
2.24 kB
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: a portrait of a necromancer with a group of skeletons posing behind him | |
| output: | |
| url: images/4fed64ec-dea7-45ff-822c-34c3110ef20b.png | |
| - text: macrophotography | |
| output: | |
| url: images/f8f1995e-c583-425b-b73a-f3e873ce1005.png | |
| - text: woman baking | |
| output: | |
| url: images/1d323cf7-d076-45d1-8386-5e2223cf066c.png | |
| - text: a deep ocean creature glows in the dark | |
| output: | |
| url: images/6579b6e7-5ac6-423d-b9d5-231389a81bde.png | |
| - text: an ancient village made inside of a cavern | |
| output: | |
| url: images/eb7e0dd1-c652-401d-b6fe-1e7addb848e0.png | |
| - text: a photo within a dungeon with stone walls, wooden doors, and ornate torches | |
| output: | |
| url: images/cbb0620c-dffe-4fc5-b310-9b4dd241472e.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: L1d4r | |
| license: cc0-1.0 | |
| # LiDAR Vision | |
| <Gallery /> | |
| ## Model description | |
| **Creator:** [Ampp](https://glif.app/@Ampp) / @ampp | |
| **Style:** Tired of seeing the world in high definition with normal colors and details? Well, say hello to the LiDAR Vision LoRA! Now you can turn any image into a futuristic laser-scan wonderland. | |
| **Click here to try it on Glif:** | |
| [](https://glif.app/@Ampp/glifs/cm10ay0ad0005gq52gnf6gfrb) | |
| *This LoRA is a part of the Glif Loradex Trainer project. The goal of the project is to explore different training techniques together, create and release opensource LoRAs, and fill the world with more art. This project is sponsored by [Glif](https:&#x2F;&#x2F;glif.app&#x2F;), offering free early access to Flux Dev training on the Glif Discord.* | |
| *All models in the Loradex Trainer program are released under the BFL Flux Dev license. Attribution for the original LoRA creator is always appreciated!* | |
| ## Trigger words | |
| You should use `L1d4r` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/glif/LiDAR-Vision/tree/main) them in the Files & versions tab. | |