--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: 'jason character, a man is seated in a car, his left arm resting on the seat of the car. He is wearing a sleeveless tank top with the word "FONDA" printed on it in black letters. His right arm is draped over his right shoulder. His left hand is resting on a black steering wheel, his right hand is positioned in front of him. The sun is shining on the right side of the image, casting a shadow onto the mans chest. The mans face is slightly turned to the left, he has a serious expression on his face. His hair is dark brown, his hair is short and neatly combed. He is wearing a black baseball cap on his head, adding a pop of color to the scene. In the background, a backdrop of palm trees can be seen.' output: url: images/image.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: jason character 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 --- ![zdzdfzdfgzdfcbv.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/YWYstnaRXvTT1X0Coy_ny.png) # Jason_Gta6-Flux-LoRA # Model description for Jason_Gta6-Flux-LoRA Image Processing Parameters | Parameter | Value | Parameter | Value | |---------------------------|--------|---------------------------|--------| | LR Scheduler | constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | Repeat & Steps | 13 & 1680 | | Epoch | 10 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 13 ## Best Dimensions & Inference | **Dimensions** | **Aspect Ratio** | **Recommendation** | |-----------------|------------------|---------------------------| | 1280 x 832 | 3:2 | Best | | 1024 x 1024 | 1:1 | Default | ### Inference Range - **Recommended Inference Steps:** 30-35 ## Setting Up ```python import torch from pipelines import DiffusionPipeline base_model = "black-forest-labs/FLUX.1-dev" pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) lora_repo = "strangerzonehf/Jason_Gta6-Flux-LoRA " trigger_word = "jason character" pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## Trigger words You should use `jason character` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/strangerzonehf/Jason_Gta6-Flux-LoRA/tree/main) them in the Files & versions tab.