Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use CCMat/fgreeneruins-ruins-mdj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CCMat/fgreeneruins-ruins-mdj 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-mdj", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of fgreeneruins ruins in Paris in front of the Arc de triomphe, mdjrny-v4 style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -36,3 +36,24 @@ pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fgreeneruins-ruins-mdj
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image = pipeline().images[0]
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image
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```
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image = pipeline().images[0]
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image
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```
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## Samples
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Prompt: "high quality photo of Venice in fgreeneruins ruins, HDR, UHD, 64K"
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<br>
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Prompt: "Fallout concept of fgreeneruins ruins in underwater city, unreal engine 5"
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Prompt: "New York City in fgreeneruins ruins with the Empire State Building in the background by Alejandro Bursido"
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<br>
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Prompt: "Manhattan in fgreeneruins ruins by Makoto Shinkai"
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<br>
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Prompt: "The Taj Mahal in fgreeneruins ruins, professional photograph"
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