Instructions to use Rand000mGuy/lotsofguns with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/lotsofguns 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("Rand000mGuy/lotsofguns") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000g\u0000u\u0000n\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000v\u00001\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from Rand000mGuy/lotsofguns: direct link, hf CLI and curl.
- Browser
- Download file 419 Bytes
-
https://huggingface.co/Rand000mGuy/lotsofguns/resolve/main/README.md
- Command line
-
hf download hf://Rand000mGuy/lotsofguns/README.md
-
curl -L -o README.md https://huggingface.co/Rand000mGuy/lotsofguns/resolve/main/README.md
419 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/00083-3103413635.webp | |
| text: "UNICODE\0\0<\0l\0o\0r\0a\0:\0g\0u\0n\0 \0s\0t\0y\0l\0e\0 \0v\01\0:\01\0>\0" | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| # Lots of guns | |
| <Gallery /> | |
| ## Download model | |
| [Download](/Rand000mGuy/lotsofguns/tree/main) them in the Files & versions tab. | |