Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use neuronaut/vasyalozhkin-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuronaut/vasyalozhkin-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neuronaut/vasyalozhkin-style", dtype=torch.bfloat16, device_map="cuda") prompt = "vasyalozhkin style painting of a cat eating pickles out of glass can" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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# DreamBooth model for the vasyalozhkin concept trained by neuronaut on the neuronaut/vasyalozhkin dataset.
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This is a Stable Diffusion model fine-tuned on Vasya Lozhkin paintings with DreamBooth. It can be used by modifying the `instance_prompt`: **vasyalozhkin style** or **vasyalozhkin**
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This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
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# DreamBooth model for the vasyalozhkin concept trained by neuronaut on the neuronaut/vasyalozhkin dataset.
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This is a Stable Diffusion model v1.5 fine-tuned on Vasya Lozhkin paintings with DreamBooth. Used 1600 steps. It can be used by modifying the `instance_prompt`: **vasyalozhkin style** or **vasyalozhkin**
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This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
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