--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - city - post apocalyptic - architecture - buildings - building - rust - junk - scrap base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: junkworld widget: - text: 'junkworld, fantasy, Polar Ice' output: url: >- 4606587.jpeg - text: 'junkworld, anime style, 1girl, woman, beautiful, cheerful,ghostly fantasy city beyond the beginning of reality' output: url: >- 4606596.jpeg - text: 'junkworld, scifi, Arctic Desert' output: url: >- 4606568.jpeg - text: 'junkworld, anime style, 1girl, woman, beautiful, noon, scenery, in a Karasu Zoku Great Tree of Life' output: url: >- 4606563.jpeg - text: 'junkworld, fantasy, wonderous fantasy city beyond the beginning of reality' output: url: >- 4606564.jpeg - text: 'junkworld, noon, architecture, "at the Sparkling Majestic Spire"' output: url: >- 4606565.jpeg - text: 'junkworld, anime style, 1boy, man, ruggedly handsome, red light district in a cheerful scifi vertical city at the beginning of the universe, masterpiece' output: url: >- 4606566.jpeg - text: 'junkworld, fantasy, Temperate Forest' output: url: >- 4606589.jpeg - text: 'junkworld, scifi, power station in a stellar,techno-optimist infra deep red fantasy megacity outside of the multiverse, masterpiece' output: url: >- 4606571.jpeg --- # Envy Junkworld XL 01 ## Model description

This architectural style LoRA turns your generations into a post-apocalyptic world of junk.

## Trigger words You should use `junkworld` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/e-n-v-y/envy-junkworld-xl-01/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 pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('e-n-v-y/envy-junkworld-xl-01', weight_name='EnvyJunkworldXL01.safetensors') image = pipeline('junkworld, scifi, power station in a stellar,techno-optimist infra deep red fantasy megacity outside of the multiverse, masterpiece').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)