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CCMat/
fforiver-river

diffusion-models-class

dreambooth-hackathon

landscape

creativeml-openrail-m

autotrain_compatible

endpoints_compatible

StableDiffusionPipeline

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DreamBooth model for the fforiver concept trained on the CCMat/forest-river dataset.

This is a Stable Diffusion model fine-tuned on the fforiver concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of fforiver river

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 river images for the landscape theme.

Pretrained Model: nitrosocke/elden-ring-diffusion

Usage

python

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fforiver-river')
image = pipeline().images[0]
image

Samples

Prompt: "fforiver river in front of the The Taj Mahal, professional photograph"

Prompt: "Fallout concept of fforiver river in front of Chichén Itzá in Mexico, sun rays, unreal engine 5"

Prompt: "high quality photo of fforiver river along the Colosseum in Rome"

Prompt: "Oil painting of fforiver river in front of the Machu Picchu"