Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use CCMat/fgreeneruins-ruins with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CCMat/fgreeneruins-ruins with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CCMat/fgreeneruins-ruins", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "high quality photo of Venice in fgreeneruins ruins" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Prompt: "photo of Paris in fgreeneruins ruins, elden ring style"
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Prompt: "fgreeneruins ruins in Saint Petersburg, Sovietwave"
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