--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: >- two asian males in their late 30s and one asian female in her late 20s having a conversation about economic issue in a newsroom, while laughing and arguing, black and white color illustration SSGMFV3H output: url: images/example_cyt0nidts.png - text: >- one young female professor explains about why people can't date while 3~4 students in their early 30s got shocked, black and white illustration SSGMFV3H output: url: images/example_bcv74qhpf.png - text: >- One asian male in his 30s and one asian female in her early 20s sitting on the different couch talking about their life while the guy is trying to make fun of her, black and white color illustration SSGMFV3H output: url: images/example_a9vs0qyet.png - text: >- an Asian man in his early 30s showing off his cool electronic products on the table and trying to explain its special features, SSGMFV3H black and white color illustration output: url: images/example_f8vfew2o3.png - text: >- An asian male in his early 20's and asian female in her early 20's are sitting on the wooden floor with some snacks, and drinking and laughing, black and white color illustration SSGMFV3H output: url: images/example_pzkqdcq04.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: SSGMFV3H 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 --- # storyboard_scene_generation_model_flux_v3_hundred Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `SSGMFV3H` 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](/jwywoo/storyboard-scene-generation-model-flux-v3-h/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('jwywoo/storyboard-scene-generation-model-flux-v3-h', weight_name='storyboard_scene_generation_model_flux_v3_hundred.safetensors') image = pipeline('SSGMFV3H two asian males in their late 30s and one asian female in her late 20s having a conversation about economic issue in a newsroom, while laughing and arguing').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)