metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: F0n! The quick brown fox jumps over the lazy dog
output:
url: samples/1754816759829__000001800_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: F0n!
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
text-eng
Model trained with AI Toolkit by Ostris
- Prompt
- F0n! The quick brown fox jumps over the lazy dog
Trigger words
You should use F0n! to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Arjun0000v/text-eng', weight_name='text-eng.safetensors')
image = pipeline('F0n! The quick brown fox jumps over the lazy dog').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers