Instructions to use Muapi/voye-spy-angles-view-helper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/voye-spy-angles-view-helper 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("Muapi/voye-spy-angles-view-helper") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Muapi/voye-spy-angles-view-helper: direct link, hf CLI and curl.
- Browser
- Download file 1.44 kB
-
https://huggingface.co/Muapi/voye-spy-angles-view-helper/resolve/main/README.md
- Command line
-
hf download hf://Muapi/voye-spy-angles-view-helper/README.md
-
curl -L -o README.md https://huggingface.co/Muapi/voye-spy-angles-view-helper/resolve/main/README.md
1.44 kB
metadata
license: openrail++
library_name: diffusers
base_model: black-forest-labs/FLUX.1-dev
tags:
- lora
- text-to-image
- stable-diffusion
- flux
- flux.1-d
pipeline_tag: text-to-image
Voye-spy - Angles view Helper
Base model: Flux.1 D Trained words: upskirt, Ultra low angle photo, floor pov, the angle reveals the woman inner thighs, crotch area, innersit, her legs are spread, her legs are separated, revealing underwear and crotch area, downblouse, high angle, from overhead, with her cleavage prominently displayed, asspy, back photo, round buttocks, focus on her butt, leggings, cheeky shorts, showspy, low angle, ultra high angle, in a shower, focus on upper/lower body, underboob, A low angle, close to the body, the angle of the shot reveal the lower part of her breasts under her clothes, see through, sheer
🧠 Usage (Python)
🔑 Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:903718@1326498", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
