| --- |
| tags: |
| - text-to-image |
| - flux |
| - lora |
| - diffusers |
| - template:sd-lora |
| - ai-toolkit |
| base_model: black-forest-labs/FLUX.1-dev |
| instance_prompt: wphoto |
| 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 |
| widget: |
| - text: wphoto, luxury watch on marble surface, elegant background bokeh, professional |
| product styling |
| output: |
| url: samples/1753259492171__000001500_3.jpg |
| - text: wphoto, rose gold timepiece with wooden background, warm ambient lighting, |
| sophisticated composition |
| output: |
| url: samples/1753259474827__000001500_2.jpg |
| - text: wphoto, vintage watch collection arranged artistically, rich textured background, |
| premium photography |
| output: |
| url: samples/1753259457442__000001500_1.jpg |
| - text: wphoto, single watch positioned on silk fabric, soft studio lighting, luxury |
| brand photography |
| output: |
| url: samples/1753259440055__000001500_0.jpg |
| --- |
| |
| # watch_styling_photography |
|
|
| Model trained with AI Toolkit by Ostris |
|
|
| <Gallery /> |
|
|
| ## Trigger words |
|
|
| You should use `wphoto` to trigger the image generation. |
|
|
| ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
|
|
| Weights for this model are available in Safetensors format. |
|
|
| [Download](/username/watch_styling_photography/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.bfloat16).to('cuda') |
| pipeline.load_lora_weights('username/watch_styling_photography', weight_name='watch_styling_photography.safetensors') |
| image = pipeline('wphoto, luxury watch on marble surface, elegant background bokeh, professional product styling').images[0] |
| image.save("my_image.png") |
| ``` |
|
|
| 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) |
|
|
