File size: 2,563 Bytes
53f68b7 3809971 53f68b7 3809971 fd92446 ce33bb6 3809971 53f68b7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: ANM
widget:
- text: >-
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.
output:
url: images/example_5asi7pzht.png
- text: >-
A ANM style cyberpunk cityscape at sunset with towering utility poles and
dense power lines silhouetted against a neon-hued sky of oranges, purples,
and pinks. The scene features low-rise buildings with illuminated signs and
neon lights, creating a moody, futuristic urban atmosphere. A few sleek cars
and pedestrians in futuristic attire add life to the scene.
output:
url: images/example_15byrppzj.png
- text: >-
A ANM style bustling New York City street scene in photorealistic detail.
Skyscrapers tower overhead, with reflective glass windows catching the
golden light of the setting sun. Yellow taxis, food carts, and a diverse
crowd of pedestrians fill the street, moving between iconic storefronts and
buildings. The atmosphere is lively and dynamic, with subtle lens flares
from street lights and a soft blur of motion on the busy sidewalks.
output:
url: images/example_maduibokt.png
---
# Animewallpaper
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `ANM` to trigger the image generation.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('FounderFeed/animewallpaper', weight_name='lora.safetensors')
image = pipeline('your prompt').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)
|