Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
comic book art
visual art
self art style
duskfallcrew
Instructions to use xFutureTechx/visual-art-style-1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/visual-art-style-1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/visual-art-style-1-5", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "dskyart1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add Space badge to model card
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by Duskfallcrew - opened
README.md
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library_name: diffusers
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### Duskfall Crew Visual Art Style 1.5 Dreambooth model trained by Duskfallcrew with
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### [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training)
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### with the v1-5 base model
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library_name: diffusers
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[](https://huggingface.co/spaces/Duskfallcrew/duskfall-crew-visual-art-style-1-5)
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### Duskfall Crew Visual Art Style 1.5 Dreambooth model trained by Duskfallcrew with
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### [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training)
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### with the v1-5 base model
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