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", 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
- Draw Things
- DiffusionBee
DreamBooth model for the fgreeneruins concept trained on the CCMat/db-forest-ruins dataset.
This is a Stable Diffusion model fine-tuned on the fgreeneruins concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of fgreeneruins ruins
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on ruins images for the landscape theme.
Concept: fgreeneruins : forest ruins, greenery ruins
Pretrained Model: nitrosocke/elden-ring-diffusion
Learning rate: 2e-6
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fgreeneruins-ruins')
image = pipeline().images[0]
image
Samples
Prompt: "high quality photo of Venice in fruins ruins"
Prompt: "high quality photo of Rome in fgreeneruins ruins with the Colosseum in the background"
Prompt: "fgreeneruins ruins in London near the Tower Bridge, professional photograph"
Prompt: "photo of Paris in fgreeneruins ruins, elden ring style"

Prompt: "fgreeneruins ruins in Saint Petersburg, Sovietwave"

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