--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: woman with red hair, playing chess at the park, bomb going off in the background output: url: samples/1757467036352__000004000_0.jpg - text: a woman holding a coffee cup, in a beanie, sitting at a cafe output: url: samples/1757467041052__000004000_1.jpg - text: a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini output: url: samples/1757467045796__000004000_2.jpg - text: a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background output: url: samples/1757467050464__000004000_3.jpg - text: a bear building a log cabin in the snow covered mountains output: url: samples/1757467055138__000004000_4.jpg - text: woman playing the guitar, on stage, singing a song, laser lights, punk rocker output: url: samples/1757467059819__000004000_5.jpg - text: hipster man with a beard, building a chair, in a wood shop output: url: samples/1757467064515__000004000_6.jpg - text: photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop output: url: samples/1757467069229__000004000_7.jpg - text: a man holding a sign that says, 'this is a sign' output: url: samples/1757467073891__000004000_8.jpg - text: a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle output: url: samples/1757467078567__000004000_9.jpg base_model: black-forest-labs/FLUX.1-schnell license: apache-2.0 --- # KintsugiStat_schnell Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words No trigger words defined. ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. Weights for this model are available in Safetensors format. [Download](/uwcc/KintsugiStat_schnell/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-schnell', torch_dtype=torch.bfloat16).to('cuda') pipeline.load_lora_weights('uwcc/KintsugiStat_schnell', weight_name='KintsugiStat_schnell.safetensors') image = pipeline('woman with red hair, playing chess at the park, bomb going off in the background').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)