metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- StableDiffusionXLPipeline
- Inference Endpoints
- sdxl
- realism
- tensorart
- face-diffusion
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
datasets:
- prithivMLmods/Canopus-Realism-Minimalist
instance_prompt: PhotoRealism
license: creativeml-openrail-m
Canopus Photo Realism
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
Working Demo Canopus-Realism
Parameter | Description |
---|---|
Space Name | Canopus-Realism |
Hosted on | ⚡Hugging Face Spaces⚡ |
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 - LoRA
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
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 them in the Files & versions tab.