File size: 1,578 Bytes
ab4c6cb 84a7e8b ab4c6cb 84a7e8b ab4c6cb 84a7e8b ab4c6cb 517c79e ab4c6cb 83a0bdd ab4c6cb 073442b 83a0bdd 073442b 83a0bdd 073442b 83a0bdd 073442b ab4c6cb 517c79e |
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 |
---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
wukong, working in the office, holding a paper that writeen with 'damn,they don't need to work'
output:
url: images/7d0ac495a4d5e4a3a30df25f08379a3f956ef99e1dc3e252fc1fca3a.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: wukong
license: apache-2.0
---
# Black-Myth-Wukong-FLUX-LoRA
<Gallery />
This is a LoRA trained on FLUX.1-dev for [Black Myth: Wukong](https://en.wikipedia.org/wiki/Black_Myth:_Wukong), an action role-playing game developed and published by Game Science.
## Trigger words
wukong
## Example
```
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("wanghaofan/Black-Myth-Wukong-FLUX-LoRA")
pipe.fuse_lora(lora_scale=0.3)
pipe.to("cuda")
prompt = "wukong, working in the office, holding a paper that writeen with 'damn,they don't need to work'"
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=5.0,
width=768, height=1024,
).images[0]
image.save(f"example.png")
```
## Download model
Weights for this model are available in Safetensors format.
[Download](/wanghaofan/Black-Myth-Wukong-FLUX-LoRA/tree/main) them in the Files & versions tab.
## Online demo
You can also download this model at [Liblib AI](https://www.liblib.art/modelinfo/e8d0f6faaf284d708fa75de6d1fec0b1?from=feed), where they provide an online interface to generate images. |