Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use evanscho/davi-tests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evanscho/davi-tests with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evanscho/davi-tests", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of daiton person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
End of training
Browse files
safety_checker/config.json
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"num_attention_heads": 12
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vision_config": {
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"dropout": 0.0,
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"hidden_size": 1024,
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"num_attention_heads": 12
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"vision_config": {
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"dropout": 0.0,
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"hidden_size": 1024,
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text_encoder/config.json
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.
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"vocab_size": 49408
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}
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.40.0",
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"vocab_size": 49408
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}
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unet/diffusion_pytorch_model.safetensors
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