Instructions to use jha2ee/StableDiffusion_finetuning_SisterIcon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jha2ee/StableDiffusion_finetuning_SisterIcon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jha2ee/StableDiffusion_finetuning_SisterIcon", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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- text-to-image
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- stable-diffusion
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### Sister-icon-style Dreambooth model trained by jha2ee
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Test the concept via A1111 Colab
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Sample pictures of this concept:
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- text-to-image
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- stable-diffusion
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### Sister-icon-style Dreambooth model trained by jha2ee
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### with [TheLastBen's fast-DreamBooth]
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(https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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Test the concept via A1111 Colab
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[fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
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Sample pictures of this concept:
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