Instructions to use FounderFeed/animewallpaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FounderFeed/animewallpaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FounderFeed/animewallpaper") prompt = "A ANM style photorealistic street scene during a vibrant sunset, with power lines and utility poles silhouetted against the sky. The sky is painted in rich hues of orange, pink, and purple, with clouds spread across it in intricate patterns. Residential buildings line the street, illuminated by warm, golden light from small shop windows. Cars and pedestrians add life to the urban landscape." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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by FounderFeed - opened
- README.md +9 -0
- images/example_maduibokt.png +0 -0
README.md
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and pedestrians in futuristic attire add life to the scene.
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output:
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url: images/example_15byrppzj.png
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---
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and pedestrians in futuristic attire add life to the scene.
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output:
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url: images/example_15byrppzj.png
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- text: >-
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A ANM style bustling New York City street scene in photorealistic detail.
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Skyscrapers tower overhead, with reflective glass windows catching the
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golden light of the setting sun. Yellow taxis, food carts, and a diverse
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crowd of pedestrians fill the street, moving between iconic storefronts and
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buildings. The atmosphere is lively and dynamic, with subtle lens flares
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from street lights and a soft blur of motion on the busy sidewalks.
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output:
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url: images/example_maduibokt.png
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---
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images/example_maduibokt.png
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