Instructions to use shivankarzz/me2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shivankarzz/me2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shivankarzz/me2", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of shivankar" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
fdf983a
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Parent(s): e4711d6
End of training
Browse files- README.md +13 -1
- pytorch_lora_weights.safetensors +3 -0
README.md
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: photo of shivankar
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tags:
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- text-to-image
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- diffusers
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- autotrain
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inference: true
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# DreamBooth trained by AutoTrain
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Text encoder was not trained.
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2078d51a54e30c462673e0fd37a7857a6f8d64dacfea2ba59cdd0bcb4a7f6926
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size 23401064
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