Text-to-Image
Diffusers
Safetensors
StableDiffusionInpaintPipeline
Safetensors
stable-diffusion
stable-diffusion-diffusers
Instructions to use andro-flock/Liberty-LibertyMain-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use andro-flock/Liberty-LibertyMain-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("andro-flock/Liberty-LibertyMain-Inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Liberty_LibertyMain Inpainting
Description:
This is the version you should be using for inpainting:
VAE is included in the model.
Remember de filename must finish in inpainting
CLIP is fixed.
Civitai Page: https://civitai.com/models/6937
You can use this with the 🧨Diffusers library
Diffusers
from diffusers import StableDiffusionPipeline
import torch
model_id = "andro-flock/Liberty-LibertyMain-Inpainting"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "masterpiece, best quality, 1girl, (colorful),(delicate eyes and face), volumatic light, ray tracing, bust shot ,extremely detailed CG unity 8k wallpaper,solo,smile"
image = pipe(prompt).images[0]
image.save("result.png")
- Downloads last month
- 4
