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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- StableDiffusionXLPipeline
- Inference Endpoints
- sdxl
- realism
- tensorart
widget:
- text: >-
A man dressed in sunglasses and brown jacket, in the style of cypherpunk,
timeless beauty, exacting precision, uhd image, aleksandr deyneka, matte
background, leather/hide --ar 67:101 --v 5
output:
url: images/1.png
- text: >-
A studio portrait of a brunette model wearing a dress in front of a natural
background --v 6.0 --style raw
output:
url: images/2.png
- text: >-
Man in the style of dark beige and brown, uhd image, youthful protagonists,
nonrepresentational
output:
url: images/3.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: PhotoRealism
license: creativeml-openrail-m
---
# Canopus Photo Realism
<Gallery />
## Working Demo Canopus-Realism
| Parameter | Description |
|---------------------|------------------------------------------------------|
| **Space Name** | Canopus-Realism |
| **Hosted on** | [⚡Hugging Face Spaces⚡](https://huggingface.co/spaces/prithivMLmods/Canopus-Realism) |
| **Default Theme** | Light by Defalut / Can be altered |
| **Description** | Canopus-Realism provides realistic image generation capabilities with a focus on high-quality outputs. |
## Model description
Canopus Photo Realism
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 | 20 |
| Epoch | 20 | Save Every N Epochs | 1 |
## 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-Realism-LoRA", weight_name="Canopus-Realism-LoRA.safetensors", adapter_name="rlms")
pipe.set_adapters("rlms")
pipe.to("cuda")
```
## Trigger prompts
A man dressed in sunglasses and brown jacket, in the style of cypherpunk, timeless beauty, exacting precision, uhd image, aleksandr deyneka, matte background, leather/hide --ar 67:101 --v 5
A studio portrait of a brunette model wearing a dress in front of a natural background --v 6.0 --style raw
Man in the style of dark beige and brown, uhd image, youthful protagonists, nonrepresentational
| Parameter | Value |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt | Closeup of blonde woman depth of field, bokeh, shallow focus, minimalism, fujifilm xh2s with Canon EF lens, cinematic --ar 85:128 --v 6.0 --style raw |
| Sampler | euler |
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Canopus-Realism-LoRA/tree/main) them in the Files & versions tab. |