metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: a poster in the style of moscos0
    output:
      url: samples/1725716954937__000003000_0.jpg
  - text: psychedelic rock poster in the style of moscos0
    output:
      url: samples/1725717015951__000003000_1.jpg
  - text: psychedelic rock poster art in the style of moscos0
    output:
      url: samples/MarkuryFLUX_00006_.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: moscos0
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

mosoco

Model trained with AI Toolkit by Ostris

Prompt
psychedelic rock poster in the style of moscos0

Prompt
psychedelic rock poster art in the style of moscos0

Trigger words

You should use moscos0 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('mateo-19182/mosoco', weight_name='mosoco')
image = pipeline('a poster in the style of moscos0').images[0]
image.save("my_image.png")

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