Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
wildcard
Instructions to use headmaking/trpfrog-icons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use headmaking/trpfrog-icons with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("headmaking/trpfrog-icons", dtype=torch.bfloat16, device_map="cuda") prompt = "an icon of trpfrog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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datasets:
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- TrpFrog/trpfrog-icons
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widget:
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# DreamBooth model for the trpfrog concept trained by Prgckwb on the TrpFrog/trpfrog-icons dataset.
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This is a Stable Diffusion model fine-tuned on the trpfrog concept with DreamBooth. It can be used by modifying the `instance_prompt`: **
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datasets:
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- TrpFrog/trpfrog-icons
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widget:
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- text: an icon of trpfrog
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# DreamBooth model for the trpfrog concept trained by Prgckwb on the TrpFrog/trpfrog-icons dataset.
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This is a Stable Diffusion model fine-tuned on the trpfrog concept with DreamBooth. It can be used by modifying the `instance_prompt`: **an icon of trpfrog**
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