| 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 | |
| # widget: | |
| # - text: >- | |
| # prompt | |
| # output: | |
| # url: https://... | |
| instance_prompt: TOK | |
| # Antique_Table_B1_1E4_Lora64_Cdr0_S1000 | |
| <Gallery /> | |
| Trained on Replicate using: | |
| https://replicate.com/ostris/flux-dev-lora-trainer/train | |
| ## Trigger words | |
| You should use `TOK` 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('TheNetherWatcher/antique_table_b1_1e4_lora64_cdr0_s1000', 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) | |