inference / README.md
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Add generated example (#2)
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metadata
tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: model wearing a black suit
    output:
      url: images/example_6dt4c5kjc.png
  - text: model wearing a black suit and wearing spectacles and working in office
    output:
      url: images/example_e3y0ystwe.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: maulikm
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

maulikmnew

Model trained with AI Toolkit by Ostris

Prompt
model wearing a black suit
Prompt
model wearing a black suit and wearing spectacles and working in office

Trigger words

You should use maulikm 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('maulikanalog/maulikmnew', weight_name='maulikmnew.safetensors')
image = pipeline('A person in a bustling cafe maulikm').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers