--- 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](https://github.com/huggingface/diffusers) ```py 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)