Instructions to use Muapi/pov-against-the-wall-remake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/pov-against-the-wall-remake with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/pov-against-the-wall-remake") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: openrail++ | |
| library_name: diffusers | |
| base_model: cocktailpeanut/pony-diffusion-v6-xl | |
| tags: | |
| - lora | |
| - text-to-image | |
| - stable-diffusion-xl | |
| - pony | |
| - pony | |
| pipeline_tag: text-to-image | |
| # Pov Against the Wall [Remake] | |
|  | |
| **Base model**: Pony | |
| **Trained words**: Pov against the wall no sex, , Pov against the wall standing, , Pov against the wall one leg up, , Pov against the wall straddling, , Pov against the wall doggy, , Pov against the wall doggy straddling, , pussy, breasts, penis, , butt, back, penis, , clothed,, open clothes,, clothes lift,, nipples,, naked,, sex,, trembling, cumming, creampie, , breast grab, , butt grab, , arm grab,, torso grab,, head grab,, face grab,, leg grab,, Reaching for viewer, arms out stretched | |
| ## 🧠 Usage (Python) | |
| 🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys) | |
| ```python | |
| import requests, os | |
| url = "https://api.muapi.ai/api/v1/sdxl-lora-image" | |
| headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")} | |
| payload = { | |
| "prompt": "masterpiece, best quality", | |
| "lora_model": "pov-against-the-wall-remake", | |
| "lora_strength": 1.0, | |
| "width": 1024, | |
| "height": 1024, | |
| "num_images": 1 | |
| } | |
| print(requests.post(url, headers=headers, json=payload).json()) | |
| ``` | |