--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=Sell&allowDerivatives=False&allowDifferentLicense=True tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - migrated - character - avatarlora base_model: black-forest-labs/FLUX.1-dev instance_prompt: widget: - text: 'avatarlora. this image features a na''vi interacting with the glowing flora of Pandora. Their touch activates the plant''s light' output: url: >- 47670033.jpeg - text: 'with the ambient sound of Pandora''s wildlife softly filling the scene. The style is in high-quality definition with high-quality details' output: url: >- 47670034.jpeg - text: 'avatarlora. this image features a na''vi crouching by a glowing pond' output: url: >- 47670032.jpeg - text: ',avatarlora,this image features a na''vi curiously watching glowing butterflies flutter around them.' output: url: >- 47677464.jpeg - text: ',avatarlora,this image features a na''vi curiously watching glowing butterflies flutter around them.' output: url: >- 47677465.jpeg - text: ',avatarlora,this image features a na''vi curiously watching glowing butterflies flutter around them.' output: url: >- 47677466.jpeg - text: ',avatarlora,this image features a na''vi hanging glowing ornaments made from plants in their dwelling.' output: url: >- 47677485.jpeg - text: ',avatarlora,this image features a na''vi hanging glowing ornaments made from plants in their dwelling.' output: url: >- 47677486.jpeg - text: ',avatarlora,this image features a na''vi guiding glowing creatures back into the safety of the plants.' output: url: >- 47677487.jpeg --- # Avatar ## Model description

Generates avatars inspired by Avatar movie

## Download model Weights for this model are available in Safetensors format. [Download](/Woogiepark/avatar/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('Woogiepark/avatar', weight_name='Avatar-000001.safetensors') image = pipeline(',avatarlora,this image features a na'vi guiding glowing creatures back into the safety of the plants.').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)