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saving checkpoint-1000
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README.md
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---
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: A photo of TOK
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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: false
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datasets:
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- jamine23/jaminerubini
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---
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# LoRA DreamBooth - squaadinc/1712014835220x512940296104004600
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## MODEL IS CURRENTLY TRAINING ...
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Last checkpoint saved: checkpoint-1000
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
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The weights were trained on the concept prompt:
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```
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A photo of TOK
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```
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Use this keyword to trigger your custom model in your prompts.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Usage
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Make sure to upgrade diffusers to >= 0.19.0:
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```
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pip install diffusers --upgrade
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```
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In addition make sure to install transformers, safetensors, accelerate as well as the invisible watermark:
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```
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pip install invisible_watermark transformers accelerate safetensors
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```
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To just use the base model, you can run:
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```python
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import torch
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from diffusers import DiffusionPipeline, AutoencoderKL
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device = "cuda" if torch.cuda.is_available() else "cpu"
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vae = AutoencoderKL.from_pretrained('madebyollin/sdxl-vae-fp16-fix', torch_dtype=torch.float16)
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pipe = DiffusionPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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vae=vae, torch_dtype=torch.float16, variant="fp16",
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use_safetensors=True
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)
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pipe.to(device)
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# This is where you load your trained weights
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specific_safetensors = "pytorch_lora_weights.safetensors"
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lora_scale = 0.9
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pipe.load_lora_weights(
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'squaadinc/1712014835220x512940296104004600',
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weight_name = specific_safetensors,
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# use_auth_token = True
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)
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prompt = "A majestic A photo of TOK jumping from a big stone at night"
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image = pipe(
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prompt=prompt,
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num_inference_steps=50,
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cross_attention_kwargs={"scale": lora_scale}
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).images[0]
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```
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checkpoint-1000/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:896a760e40d8b524f390f9f8fd2b8faf5cb73e158ab62ba8ff34c377870e860b
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size 14990599
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checkpoint-1000/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a8ed9bb1a3fb16fde1e54ff1e544b820dff0f9fae7cd3c8df3c67617d01d7fc
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size 23401064
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checkpoint-1000/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e67c33b7719e4d6ebe018b6fae0dec3ff773f3b84a7cf1ba32ece961d6401db
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size 14599
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checkpoint-1000/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:68cff80b680ddf6e7abbef98b5f336b97f9b5963e2209307f639383870e8cc71
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size 557
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checkpoint-1000/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:963c3085720a3a3ca1d178559a0f2dc5d5b36fa395a4663f0194bfac4a754038
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size 563
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