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DB_Monet_style
avuhong/DB_Monet_style
DB_Monet_style is a text-to-image model from avuhong. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
This is a Stable Diffusion model fine-tuned Claude-Monet's painting style taught to Stable Diffusion with DreamBooth. It can be used by modifying the instanceprompt: a painting in $M style of
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At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Dec 20, 2022
- Updated
- Dec 29, 2022
- SHA
- 25f3d4e3
Try a prompt
Model card
From the Hugging Face model README
DreamBooth model for the painting of Claude-Monet style
This is a Stable Diffusion model fine-tuned Claude-Monet's painting style taught to Stable Diffusion with DreamBooth.
It can be used by modifying the instance_prompt: a painting in $M## style of
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 Claude-Monet's paintings.
Examples
Since it's more for landscape painting, the image size matters. I found that 512*1024 normally gave interesting results. Check out this gallery for more generated images: https://www.vuhongai.com/classicalart-ai
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('avuhong/DB_Monet_style')
prompt = "a painting in $M## style of a fishing village under a cherry blossom forest at sunset"
image = pipe(prompt,
num_inference_steps=200,
guidance_scale=5,
height=512, width=1024,
).images[0]
image
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Created
- Dec 20, 2022
- Updated
- Dec 29, 2022