Text-to-Image
Diffusers
Safetensors
English
RamiGen
remote-sensing
image-generation
controllable-generation
diffusion-transformer
instance-centric-generation
optical-imagery
SAR-imagery
ControlNet
Instructions to use Byuns5/RamiGen_Pretrained_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Byuns5/RamiGen_Pretrained_checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Byuns5/RamiGen_Pretrained_checkpoint", 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 Settings
- Draw Things
- DiffusionBee
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