Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
isometric
art
stable diffusion
stable diffusion 1.5
duskfallcrew
Instructions to use EnD-Diffusers/isometric-dreams-sd-1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/isometric-dreams-sd-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("EnD-Diffusers/isometric-dreams-sd-1-5", dtype=torch.bfloat16, device_map="cuda") prompt = "duskametrick15" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add Space badge to model card
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README.md
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[](https://huggingface.co/spaces/Duskfallcrew/isometric-dreams-sd-1-5)
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### Isometric Dreams SD 1.5 Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
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You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
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---
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[](https://huggingface.co/spaces/Duskfallcrew/isometric-dreams-sd-1-5)
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[](https://huggingface.co/spaces/Duskfallcrew/isometric-dreams-sd-1-5)
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### Isometric Dreams SD 1.5 Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
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You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
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