Text-to-Image
Diffusers
Safetensors
StableDiffusionInpaintPipeline
Safetensors
stable-diffusion
stable-diffusion-diffusers
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]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")
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