MLLW / README.md
BKKSPY's picture
Add generated example
5671661 verified
|
raw
history blame
2.27 kB
metadata
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
language:
  - en
tags:
  - flux
  - diffusers
  - lora
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: MLLW
widget:
  - text: >-
      Create a striking digital artwork of a muscular, six-pack male figure
      seamlessly blended with a nature-inspired outfit. The man's toned physique
      is accentuated with soft, dynamic lighting, highlighting his defined abs
      and athletic build. His attire is crafted entirely from organic elements:
      intertwined vines wrap around his torso like armor, leaves form a cloak
      cascading down his shoulders, and bark textures merge with his skin for a
      surreal, earthy aesthetic. Add subtle moss accents, floral patterns, and
      wooden details to enhance the harmony between human form and nature. The
      background is a mystical forest with glowing bioluminescent plants,
      cascading waterfalls, and golden sunlight filtering through ancient trees.
      Render the scene in a vibrant, painterly style with ethereal textures,
      blending realism and fantasy—think a mix of Alphonse Mucha's flowing lines
      and Brian Froud's whimsical naturalism. Include faint magical elements,
      like glowing runes on his skin or butterflies fluttering around him, to
      evoke a sense of enchantment
    output:
      url: images/example_n7q1baao0.png

Mllw

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use MLLW to trigger the image generation.

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.float16).to('cuda')
pipeline.load_lora_weights('BKKSPY/MLLW', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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