--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: ohwx woman, front-facing, high-key commercial lighting, in the northern lights, realistic, in winter hunter clothing output: url: samples/1768332577225__000001500_0.jpg - text: ohwx woman, front-facing, high-key commercial lighting, in the dance club, realistic, in casual white full sleeved shirt output: url: samples/1768337564568__000001500_0.jpg - text: realistic photo of ohwx woman, front-facing, high-key commercial lighting, in the office, professional photo, in an office suit output: url: samples/1768337766754__000001500_0.jpg - text: realistic photo of ohwx woman, front-facing, high-key commercial lighting, pure white background, evenly lit face, no harsh shadows output: url: samples/1768338046992__000001500_0.jpg - text: ohwx woman, front-facing, standing indoors at night, cinematic low-key lighting, single warm practical light behind camera, soft shadows shaping the face, moody atmosphere, film grain, photorealistic output: url: samples/1768332590029__000001500_1.jpg base_model: black-forest-labs/FLUX.1-dev instance_prompt: ohwx 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 --- # Lock1woConv Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `ohwx` 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](/Sudhin05/Lt-toolkit/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('Sudhin05/Lt-toolkit', weight_name='Lock1woConv.safetensors') image = pipeline('ohwx woman, front-facing, high-key commercial lighting, in the northern lights, realistic, in winter hunter clothing').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)