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 +8 -0
- images/example_15byrppzj.png +0 -0
README.md
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the urban landscape.
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output:
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url: images/example_5asi7pzht.png
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---
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the urban landscape.
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output:
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url: images/example_5asi7pzht.png
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- text: >-
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A ANM style cyberpunk cityscape at sunset with towering utility poles and
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dense power lines silhouetted against a neon-hued sky of oranges, purples,
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and pinks. The scene features low-rise buildings with illuminated signs and
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neon lights, creating a moody, futuristic urban atmosphere. A few sleek cars
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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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images/example_15byrppzj.png
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