Instructions to use Cuidarte/Photo-Realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Cuidarte/Photo-Realism with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Cuidarte/Photo-Realism")

prompt = "UNICODE\u0000\u0000e\u0000a\u0000r\u0000l\u0000y\u0000 \u00002\u00000\u00001\u00000\u0000s\u0000 \u0000s\u0000n\u0000a\u0000p\u0000s\u0000h\u0000o\u0000t\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000c\u0000a\u0000p\u0000t\u0000u\u0000r\u0000e\u0000d\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000p\u0000h\u0000o\u0000n\u0000e\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000a\u0000v\u0000e\u0000d\u0000 \u0000a\u0000s\u0000 \u0000I\u0000M\u0000G\u0000_\u00002\u00000\u00001\u00008\u0000.\u0000C\u0000R\u00002\u0000,\u0000 \u0000A\u0000 \u0000s\u0000e\u0000l\u0000f\u0000i\u0000e\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000y\u0000o\u0000u\u0000n\u0000g\u0000 \u0000j\u0000a\u0000p\u0000a\u0000n\u0000e\u0000s\u0000e\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000f\u0000r\u0000o\u0000n\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000c\u0000o\u0000n\u0000c\u0000r\u0000e\u0000t\u0000e\u0000 \u0000w\u0000a\u0000l\u0000l\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000g\u0000r\u0000a\u0000f\u0000f\u0000i\u0000t\u0000i\u0000 \u0000o\u0000n\u0000 \u0000i\u0000t\u0000 \u0000t\u0000h\u0000a\u0000t\u0000 \u0000r\u0000e\u0000a\u0000d\u0000s\u0000 \u0000\"\u0000I\u0000m\u0000p\u0000r\u0000o\u0000v\u0000e\u0000d\u0000 \u0000S\u0000k\u0000i\u0000n\u0000 \u0000+\u0000 \u0000R\u0000e\u0000a\u0000l\u0000i\u0000s\u0000m\u0000\"\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000s\u0000l\u0000i\u0000g\u0000h\u0000t\u0000l\u0000y\u0000 \u0000o\u0000f\u0000f\u0000-\u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000 \u0000b\u0000a\u0000g\u0000g\u0000y\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000t\u0000-\u0000s\u0000h\u0000i\u0000r\u0000t\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000t\u0000h\u0000e\u0000 \u0000t\u0000e\u0000x\u0000t\u0000 \u0000\"\u0000I\u0000m\u0000p\u0000r\u0000o\u0000v\u0000e\u0000d\u0000 \u0000A\u0000m\u0000a\u0000t\u0000e\u0000u\u0000r\u0000 \u0000S\u0000n\u0000a\u0000p\u0000s\u0000h\u0000o\u0000t\u0000 \u0000P\u0000h\u0000o\u0000t\u0000o\u0000 \u0000R\u0000e\u0000a\u0000l\u0000i\u0000s\u0000m\u0000 \u0000v\u00001\u00002\u0000\"\u0000 \u0000w\u0000r\u0000i\u0000t\u0000t\u0000e\u0000n\u0000 \u0000o\u0000n\u0000 \u0000i\u0000t\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000b\u0000o\u0000b\u0000c\u0000u\u0000t\u0000 \u0000a\u0000n\u0000d\u0000 \u0000d\u0000y\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000m\u0000u\u0000l\u0000t\u0000i\u0000p\u0000l\u0000e\u0000 \u0000r\u0000a\u0000i\u0000n\u0000b\u0000o\u0000w\u0000-\u0000l\u0000i\u0000k\u0000e\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000h\u0000a\u0000p\u0000p\u0000y\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000m\u0000i\u0000l\u0000i\u0000n\u0000g\u0000.\u0000 \u0000S\u0000h\u0000o\u0000t\u0000 \u0000d\u0000u\u0000r\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000d\u0000a\u0000y\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000u\u0000n\u0000s\u0000h\u0000i\u0000n\u0000e\u0000.\u0000"
image = pipe(prompt).images[0]

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

Photo-Realism / README.md

Cuidarte

initial commit

d52a662 verified over 1 year ago

preview code

Raw History Blame Contribute Delete

1.92 kB

---
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
- text: "UNICODE\0\0e\0a\0r\0l\0y\0 \02\00\01\00\0s\0 \0s\0n\0a\0p\0s\0h\0o\0t\0 \0p\0h\0o\0t\0o\0 \0c\0a\0p\0t\0u\0r\0e\0d\0 \0w\0i\0t\0h\0 \0a\0 \0p\0h\0o\0n\0e\0 \0a\0n\0d\0 \0s\0a\0v\0e\0d\0 \0a\0s\0 \0I\0M\0G\0_\02\00\01\08\0.\0C\0R\02\0,\0 \0A\0 \0s\0e\0l\0f\0i\0e\0 \0o\0f\0 \0a\0 \0y\0o\0u\0n\0g\0 \0j\0a\0p\0a\0n\0e\0s\0e\0 \0w\0o\0m\0a\0n\0 \0s\0t\0a\0n\0d\0i\0n\0g\0 \0i\0n\0 \0f\0r\0o\0n\0t\0 \0o\0f\0 \0a\0 \0c\0o\0n\0c\0r\0e\0t\0e\0 \0w\0a\0l\0l\0 \0w\0i\0t\0h\0 \0g\0r\0a\0f\0f\0i\0t\0i\0 \0o\0n\0 \0i\0t\0 \0t\0h\0a\0t\0 \0r\0e\0a\0d\0s\0 \0\"\0I\0m\0p\0r\0o\0v\0e\0d\0 \0S\0k\0i\0n\0 \0+\0 \0R\0e\0a\0l\0i\0s\0m\0\"\0.\0 \0S\0h\0e\0 \0i\0s\0 \0w\0e\0a\0r\0i\0n\0g\0 \0a\0 \0s\0l\0i\0g\0h\0t\0l\0y\0 \0o\0f\0f\0-\0s\0h\0o\0u\0l\0d\0e\0r\0 \0b\0a\0g\0g\0y\0 \0w\0h\0i\0t\0e\0 \0t\0-\0s\0h\0i\0r\0t\0 \0w\0i\0t\0h\0 \0t\0h\0e\0 \0t\0e\0x\0t\0 \0\"\0I\0m\0p\0r\0o\0v\0e\0d\0 \0A\0m\0a\0t\0e\0u\0r\0 \0S\0n\0a\0p\0s\0h\0o\0t\0 \0P\0h\0o\0t\0o\0 \0R\0e\0a\0l\0i\0s\0m\0 \0v\01\02\0\"\0 \0w\0r\0i\0t\0t\0e\0n\0 \0o\0n\0 \0i\0t\0.\0 \0S\0h\0e\0 \0h\0a\0s\0 \0s\0h\0o\0r\0t\0 \0h\0a\0i\0r\0 \0s\0t\0y\0l\0e\0d\0 \0i\0n\0 \0a\0 \0b\0o\0b\0c\0u\0t\0 \0a\0n\0d\0 \0d\0y\0e\0d\0 \0i\0n\0 \0m\0u\0l\0t\0i\0p\0l\0e\0 \0r\0a\0i\0n\0b\0o\0w\0-\0l\0i\0k\0e\0 \0c\0o\0l\0o\0r\0s\0.\0 \0S\0h\0e\0 \0i\0s\0 \0h\0a\0p\0p\0y\0 \0a\0n\0d\0 \0s\0m\0i\0l\0i\0n\0g\0.\0 \0S\0h\0o\0t\0 \0d\0u\0r\0i\0n\0g\0 \0t\0h\0e\0 \0d\0a\0y\0 \0w\0i\0t\0h\0 \0n\0a\0t\0u\0r\0a\0l\0 \0l\0i\0g\0h\0t\0i\0n\0g\0 \0a\0n\0d\0 \0s\0u\0n\0s\0h\0i\0n\0e\0.\0"
  output:
    url: images/1000028692.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null

---
# Photo-Realism

<Gallery />



## Download model

Weights for this model are available in Safetensors format.

[Download](/Cuidarte/Photo-Realism/tree/main) them in the Files & versions tab.

	---
	tags:
	- text-to-image
	- lora
	- diffusers
	- template:diffusion-lora
	widget:
	- text: "UNICODE\0\0e\0a\0r\0l\0y\0 \02\00\01\00\0s\0 \0s\0n\0a\0p\0s\0h\0o\0t\0 \0p\0h\0o\0t\0o\0 \0c\0a\0p\0t\0u\0r\0e\0d\0 \0w\0i\0t\0h\0 \0a\0 \0p\0h\0o\0n\0e\0 \0a\0n\0d\0 \0s\0a\0v\0e\0d\0 \0a\0s\0 \0I\0M\0G\0_\02\00\01\08\0.\0C\0R\02\0,\0 \0A\0 \0s\0e\0l\0f\0i\0e\0 \0o\0f\0 \0a\0 \0y\0o\0u\0n\0g\0 \0j\0a\0p\0a\0n\0e\0s\0e\0 \0w\0o\0m\0a\0n\0 \0s\0t\0a\0n\0d\0i\0n\0g\0 \0i\0n\0 \0f\0r\0o\0n\0t\0 \0o\0f\0 \0a\0 \0c\0o\0n\0c\0r\0e\0t\0e\0 \0w\0a\0l\0l\0 \0w\0i\0t\0h\0 \0g\0r\0a\0f\0f\0i\0t\0i\0 \0o\0n\0 \0i\0t\0 \0t\0h\0a\0t\0 \0r\0e\0a\0d\0s\0 \0\"\0I\0m\0p\0r\0o\0v\0e\0d\0 \0S\0k\0i\0n\0 \0+\0 \0R\0e\0a\0l\0i\0s\0m\0\"\0.\0 \0S\0h\0e\0 \0i\0s\0 \0w\0e\0a\0r\0i\0n\0g\0 \0a\0 \0s\0l\0i\0g\0h\0t\0l\0y\0 \0o\0f\0f\0-\0s\0h\0o\0u\0l\0d\0e\0r\0 \0b\0a\0g\0g\0y\0 \0w\0h\0i\0t\0e\0 \0t\0-\0s\0h\0i\0r\0t\0 \0w\0i\0t\0h\0 \0t\0h\0e\0 \0t\0e\0x\0t\0 \0\"\0I\0m\0p\0r\0o\0v\0e\0d\0 \0A\0m\0a\0t\0e\0u\0r\0 \0S\0n\0a\0p\0s\0h\0o\0t\0 \0P\0h\0o\0t\0o\0 \0R\0e\0a\0l\0i\0s\0m\0 \0v\01\02\0\"\0 \0w\0r\0i\0t\0t\0e\0n\0 \0o\0n\0 \0i\0t\0.\0 \0S\0h\0e\0 \0h\0a\0s\0 \0s\0h\0o\0r\0t\0 \0h\0a\0i\0r\0 \0s\0t\0y\0l\0e\0d\0 \0i\0n\0 \0a\0 \0b\0o\0b\0c\0u\0t\0 \0a\0n\0d\0 \0d\0y\0e\0d\0 \0i\0n\0 \0m\0u\0l\0t\0i\0p\0l\0e\0 \0r\0a\0i\0n\0b\0o\0w\0-\0l\0i\0k\0e\0 \0c\0o\0l\0o\0r\0s\0.\0 \0S\0h\0e\0 \0i\0s\0 \0h\0a\0p\0p\0y\0 \0a\0n\0d\0 \0s\0m\0i\0l\0i\0n\0g\0.\0 \0S\0h\0o\0t\0 \0d\0u\0r\0i\0n\0g\0 \0t\0h\0e\0 \0d\0a\0y\0 \0w\0i\0t\0h\0 \0n\0a\0t\0u\0r\0a\0l\0 \0l\0i\0g\0h\0t\0i\0n\0g\0 \0a\0n\0d\0 \0s\0u\0n\0s\0h\0i\0n\0e\0.\0"
	output:
	url: images/1000028692.jpeg
	base_model: black-forest-labs/FLUX.1-dev
	instance_prompt: null

	---
	# Photo-Realism

	<Gallery />



	## Download model

	Weights for this model are available in Safetensors format.

	[Download](/Cuidarte/Photo-Realism/tree/main) them in the Files & versions tab.