--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - migrated - photorealistic - woman - celebrity - girls - realistic base_model: black-forest-labs/FLUX.1-dev instance_prompt: widget: - text: 'cgi render of a goth woman with short black hair holding a lightsaber to her face' output: url: >- 33674021.jpeg - text: 'cgi render of a woman wearing a firefighter outfit' output: url: >- 33673225.jpeg - text: 'cgi render of a goth woman with short black hair' output: url: >- 33674022.jpeg - text: ' ' output: url: >- 33672851.jpeg - text: ' ' output: url: >- 33673224.jpeg - text: 'cgi render of a woman in a dragonball cosplay' output: url: >- 33673227.jpeg - text: 'cgi render of a woman wearing a hello kitty cosplay' output: url: >- 33673604.jpeg - text: 'cgi render of a woman wearing a ninja costume' output: url: >- 33673608.jpeg --- # FLUX - Emma Myers ([CivitAI](https://civitai.com/models/)) ## Model description

FLUX - Emma Myers

Want a Custom/private LoRA? Get it here : Ko-Fi Commission

Prompts in showcase images

Enjoy!

Leave me a review so it can improve!

## Download model Weights for this model are available in Safetensors format. [Download](/Keltezaa/flux-emma-myers/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 device = "cuda" if torch.cuda.is_available() else "cpu" pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device) pipeline.load_lora_weights('Keltezaa/flux-emma-myers', weight_name='Flux.EmmaMyers-step00000400.safetensors') image = pipeline('cgi render of a woman wearing a ninja costume').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)