Text-to-Image
Diffusers
Safetensors
Turkish
stable-diffusion
stable-diffusion-diffusers
lora
inpainting
Instructions to use meryemarpaci/sd2base-inpainting-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use meryemarpaci/sd2base-inpainting-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("meryemarpaci/sd2base-inpainting-lora") 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
- Xet hash:
- 809dd239602f61ff3af60a9226181d4d60c293b77fdec1ca74a9cb6a2d21d04a
- Size of remote file:
- 3.36 MB
- SHA256:
- e6d337bc29f00f3ef38d58695d29648f7e07c384726737ee2140d0d7c563af12
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