metadata

base_model: black-forest-labs/FLUX.1-dev
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
tags:
  - autotrain
  - spacerunner
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: A person in a bustling cafe mcsclero
    output:
      url: samples/1725361648741__000001000_0.jpg
  - text: A man emerges from the forest mcsclero
    output:
      url: samples/1725361752021__000001000_1.jpg
  - text: mcsclero working on old synthesizers
    output:
      url: samples/1725361855378__000001000_2.jpg
instance_prompt: mcsclero

mc-scleroscope

Model trained with AI Toolkit by Ostris

Prompt
A person in a bustling cafe mcsclero

Prompt
A man emerges from the forest mcsclero

Prompt
mcsclero working on old synthesizers

Trigger words

You should use mcsclero 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('mitrick2/mc-scleroscope', weight_name='mc-scleroscope')
image = pipeline('A person in a bustling cafe mcsclero').images[0]
image.save("my_image.png")

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