| --- |
| 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 |
| base_model: black-forest-labs/FLUX.1-dev |
| pipeline_tag: text-to-image |
| instance_prompt: DHANUSH |
| --- |
| |
| # Tugce_Flux |
| |
| Trained on Replicate using: |
| |
| https://replicate.com/ostris/flux-dev-lora-trainer/train |
| |
| |
| ## Trigger words |
| You should use `tugce` 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('Fihade/Kodak-Portra400-xl-LoRA', torch_dtype=torch.float16).to('cuda') |
| pipeline.load_lora_weights('codermert/model_malika', weight_name='flux_train_replicate.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) |
