metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: m_port
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
widget:
- text: Sample generation
output:
url: samples/1756802319166__000000000_0.jpg
- text: Sample generation
output:
url: samples/1756802337105__000000000_1.jpg
- text: Sample generation
output:
url: samples/1756802355203__000000000_2.jpg
m_portrait
Model trained with AI Toolkit by Ostris
- Prompt
- Sample generation
- Prompt
- Sample generation
- Prompt
- Sample generation
Trigger words
You should use m_port 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('username/m_portrait', weight_name='m_portrait_000000250.safetensors')
image = pipeline('m_port style artwork').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers