| | --- |
| | 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 |
| | language: |
| | - en |
| | tags: |
| | - flux |
| | - diffusers |
| | - lora |
| | - replicate |
| | base_model: "black-forest-labs/FLUX.1-dev" |
| | pipeline_tag: text-to-image |
| | |
| | |
| | |
| | |
| | |
| | instance_prompt: ramimurad |
| | --- |
| | |
| | # Rami_V2_Lora |
| |
|
| | <Gallery /> |
| |
|
| | ## About this LoRA |
| |
|
| | This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI. |
| |
|
| | It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train |
| |
|
| |
|
| | ## Trigger words |
| |
|
| | You should use `ramimurad` to trigger the image generation. |
| |
|
| |
|
| | ## Run this LoRA with an API using Replicate |
| |
|
| | ```py |
| | import replicate |
| | |
| | input = { |
| | "prompt": "ramimurad", |
| | "lora_weights": "https://huggingface.co/ramimu/rami_V2_LoRa/resolve/main/lora.safetensors" |
| | } |
| | |
| | output = replicate.run( |
| | "black-forest-labs/flux-dev-lora", |
| | input=input |
| | ) |
| | for index, item in enumerate(output): |
| | with open(f"output_{index}.webp", "wb") as file: |
| | file.write(item.read()) |
| | ``` |
| |
|
| | ## 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.float16).to('cuda') |
| | pipeline.load_lora_weights('ramimu/rami_V2_LoRa', weight_name='lora.safetensors') |
| | image = pipeline('ramimurad').images[0] |
| | ``` |
| |
|
| | 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) |
| |
|
| |
|
| | ## Training details |
| |
|
| | - Steps: 4000 |
| | - Learning rate: 0.0004 |
| | - LoRA rank: 32 |
| |
|
| |
|
| | ## Contribute your own examples |
| |
|
| | You can use the [community tab](https://huggingface.co/ramimu/rami_V2_LoRa/discussions) to add images that show off what you’ve made with this LoRA. |
| |
|