--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: 'capybara hf, A cartoon drawing of a brown bear sitting in front of a laptop. The bear is facing to the right and has a smiley face on the screen of the laptop. Above the bear is a white bear with a black nose and a black mouth. The background is a light beige color.' output: url: images/C1.png - text: 'capybara hf, A cartoon drawing of a brown bear wearing sunglasses with a yellow circle at the top of the eyes. The bears eyes are tinted black, and the bears body is a light brown color. He is holding a pink money in his right hand. The money has a black border around it, and there are two yellow smiley faces on the eyes of the bear. The background is a solid white color.' output: url: images/C2.png - text: 'capybara hf, A cartoon drawing of a brown bear with a black hat on its head. The bear is wearing a black shirt with a pink collar. The bears face is brown and the bears mouth is black. There is a smiley face in the bottom right corner of the image. There are white clouds in the background.' output: url: images/C3.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: capybara hf license: apache-2.0 --- ![strangerzonehf/Flux-Super-Capybara-HF](images/CC.png) # Flux-Super-Capybara-HF **The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.** ## Model description **prithivMLmods/Flux-Super-Capybara-HF** 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 | 22 & 2900 | | Epoch | 15 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 20 ## Best Dimensions - 768 x 1024 (Best) - 1024 x 1024 (Default) ## 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/Flux-Super-Capybara-HF" trigger_word = "capybara hf" pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## Trigger words You should use `capybara hf` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/strangerzonehf/Flux-Super-Capybara-HF/tree/main) them in the Files & versions tab.