| | --- |
| | 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 realistic image: "An artistic image of a crowned man holding a |
| | cherry branch and a golden chalice against the backdrop of a medieval |
| | castle. The scenery is surrounded by blossoming cherry or almond branches |
| | representing spring blossoms. The background has warm, deep colors that |
| | create a fairytale and mystical mood |
| | output: |
| | url: images/example_9sxmr0iyk.png |
| |
|
| | --- |
| | |
| | # Mllw |
| |
|
| | <Gallery /> |
| |
|
| | 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) |
| |
|
