Instructions to use leonel4rd/Neonfantasy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Neonfantasy 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("leonel4rd/Neonfantasy") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000N\u0000e\u0000o\u0000n\u0000F\u0000a\u0000n\u0000t\u0000a\u0000s\u0000y\u0000P\u0000r\u0000i\u0000m\u0000e\u0000F\u0000L\u0000U\u0000X\u0000-\u00000\u00000\u00000\u00000\u00004\u00009\u0000:\u00001\u0000>\u0000 \u0000n\u0000e\u00000\u0000n\u0000f\u0000a\u0000n\u0000t\u00004\u0000s\u0000y\u0000,\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 650 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: "UNICODE\0\0<\0l\0o\0r\0a\0:\0N\0e\0o\0n\0F\0a\0n\0t\0a\0s\0y\0P\0r\0i\0m\0e\0F\0L\0U\0X\0-\00\00\00\00\04\09\0:\01\0>\0 \0n\0e\00\0n\0f\0a\0n\0t\04\0s\0y\0,\0"
output:
url: images/00170-2922108776.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ne0nfant4sy
---
# Neonfantasy
<Gallery />
## Trigger words
You should use `ne0nfant4sy` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leonel4rd/Neonfantasy/tree/main) them in the Files & versions tab.
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