--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: Calvin and Hobbs swimming in the pool chatting about drinking lemonade output: url: samples/1727720907186__000003000_0.jpg - text: Calvin and Hobbs climbing tree and talking about life output: url: samples/1727720917286__000003000_1.jpg - text: Calvin and Hobbs talking about quitting school output: url: samples/1727720927327__000003000_2.jpg - text: Calvin and Hobbs eat dinner while talking about football output: url: samples/1727720937178__000003000_3.jpg - text: Calvin and Hobbs go to shopping and talk about inflation output: url: samples/1727720946973__000003000_4.jpg base_model: black-forest-labs/FLUX.1-dev instance_prompt: Calvin and Hobbs 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 --- # ComicStrips_flux_lora_v1_fp16 Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `Calvin and Hobbs` 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](/zhreyu/ComicStrips-Lora-Fluxdev/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('zhreyu/ComicStrips-Lora-Fluxdev', weight_name='ComicStrips_flux_lora_v1_fp16.safetensors') image = pipeline('Calvin and Hobbs swimming in the pool chatting about drinking lemonade').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)