File size: 2,353 Bytes
9ec885c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: 'a advertising photo of the TOK bottle'
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a advertising photo of the TOK bottle
license: openrail++
---
# SDXL LoRA DreamBooth - tushaar21/lcm-lora-sdxl-500-rank6
<Gallery />
## Model description
### These are tushaar21/lcm-lora-sdxl-500-rank6 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`/content/drive/MyDrive/lora-lcm-sdxl-500/checkpoint-200.safetensors` here 💾](/tushaar21/lcm-lora-sdxl-500-rank6/blob/main//content/drive/MyDrive/lora-lcm-sdxl-500/checkpoint-200.safetensors)**.
- Place it on your `models/Lora` folder.
- On AUTOMATIC1111, load the LoRA by adding `<lora:/content/drive/MyDrive/lora-lcm-sdxl-500/checkpoint-200:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('tushaar21/lcm-lora-sdxl-500-rank6', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('a advertising photo of the TOK bottle').images[0]
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
## Trigger words
You should use a advertising photo of the TOK bottle to trigger the image generation.
## Details
All [Files & versions](/tushaar21/lcm-lora-sdxl-500-rank6/tree/main).
The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
LoRA for the text encoder was enabled. False.
Pivotal tuning was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
|