black-forest-labs/flux-dev-lora

Random seed. Set for reproducible generation

Input image for image to image mode. The aspect ratio of your output will match this image

Prompt for generated image

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16. Note that outputs will not be deterministic when this is enabled, even if you set a seed.

Guidance for generated image

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Approximate number of megapixels for generated image

Number of outputs to generate

Aspect ratio for the generated image

HuggingFace API token. If you're using a hf lora that needs authentication, you'll need to provide an API token.

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>[/<lora-weights-file.safetensors>], CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet, including signed URLs. For example, 'fofr/flux-pixar-cars'. Civit AI and HuggingFace LoRAs may require an API token to access, which you can provide in the `civitai_api_token` and `hf_api_token` inputs respectively.

Format of the output images

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Civitai API token. If you're using a civitai lora that needs authentication, you'll need to provide an API token.

Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster.

Disable safety checker for generated images.