Instructions to use PhilSad/phil_1024_750_cosine_0.0001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PhilSad/phil_1024_750_cosine_0.0001 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PhilSad/phil_1024_750_cosine_0.0001") prompt = "a photo of sks man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse files- README.md +23 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- pytorch_lora_weights.bin +3 -0
README.md
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---
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license: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photo of sks man
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA DreamBooth - PhilSad/phil_1024_750_cosine_0.0001
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of sks man using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: True.
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Special VAE used for training: adebyollin/sdxl-vae-fp16-fix.
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:789fe855b60ef39ee32eff9f2eb698f48c715ccf7165678750039e5667469061
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size 60331589
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checkpoint-500/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a816b7b03a61030a5ae60f62641065a63e2b78f6d97ec0b409f3228e85c6be16
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size 30226675
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b7873694b74a11db252bcb577b797acc17a1545814d7b8fda7366e9485159ec
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size 14599
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:72b3547237afc03d3e25c5f5adc631e5ad4e4a5c7177d76b18f7718cea1011d5
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size 563
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:148e5912889a37c4ae14026611d20e7a7426161e83e7c4bdf722a73b8d941e35
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size 30226675
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