| license: other | |
| license_name: bespoke-lora-trained-license | |
| license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| - migrated | |
| - vintage | |
| - style | |
| - vintage style | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: Vintage cover | |
| widget: | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088592.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088594.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088589.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088588.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088593.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088590.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 25088591.jpeg | |
| # Vintage Cover [FLUX] | |
| <Gallery /> | |
| ([CivitAI](https://civitai.com/models/)) | |
| ## Model description | |
| <p>An attempt to train a "Vintage cover" style Flux LoRA (I think I did a better job with the <a rel="ugc" href="https://civitai.com/models/141048/sdxl-vintage-magazine-style-lora">SDXL version</a>)</p><p>Use 'Vintage cover' in your prompts</p> | |
| ## Trigger words | |
| You should use `Vintage cover` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Norod78/vintage-cover-flux/tree/main) them in the Files & versions tab. | |
| ## 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('Norod78/vintage-cover-flux', weight_name='b0f2d15fd0d2413bbd1aa12b1dbb4b69_lora.safetensors') | |
| image = pipeline('`Vintage cover`').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) | |