Instructions to use Rand000mGuy/glock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/glock with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/glock") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 352 Bytes
e0a40cf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/d5bbbcbe-5e37-4b2c-93ee-8ffcafc2cea8.png
text: '-'
base_model: Lakonik/AsymFLUX.2-klein-9B
instance_prompt: null
---
# glock
<Gallery />
## Download model
[Download](/Rand000mGuy/glock/tree/main) them in the Files & versions tab.
|