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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: 'Kalamkari textile pattern, 4K'
output:
url: images/tp3.png
- text: 'Ikat textile pattern, 4K'
output:
url: images/tp4.png
- text: 'Floral textile pattern, 4K'
output:
url: images/tp5.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: textile pattern
license: apache-2.0
---
# Canopus-Textile-Patterns
<Gallery />
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat | 30 |
| Epoch | 09 | Save Every N Epochs | 1 |
Total Steps: 1080
## SETTING-UP
```py
pipe = StableDiffusionXLPipeline.from_pretrained(
"-------------xxxxxxxxx----------",
torch_dtype=torch.float16,
use_safetensors=True,
)
(or)
-----------------------------------------------------------
pipe = StableDiffusionXLPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16,
use_safetensors=True,
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.load_lora_weights("prithivMLmods/Canopus-Textile-Pattern-adp-LoRA", weight_name="Canopus-Textile-Pattern-adp-LoRA.safetensors", adapter_name="tpl")
pipe.set_adapters("tpl")
pipe.to("cuda")
```
## Trigger prompts
Kalamkari textile pattern, 4K
Ikat textile pattern, 4K
Floral textile pattern, 4K
| Parameter | Value |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt | Floral textile pattern, 4K |
| Sampler | euler |
## Trigger words
You should use `textile pattern` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Canopus-Textile-Pattern-adp-LoRA/tree/main) them in the Files & versions tab.