File size: 1,602 Bytes
53f68b7
 
 
 
 
 
 
 
 
 
 
c2533af
53f68b7
 
c2533af
 
 
 
 
 
 
 
 
 
 
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
---
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

---

# 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)