Instructions to use Rakamik/saklh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rakamik/saklh 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("Rakamik/saklh")

prompt = "UNICODE\u0000\u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000b\u0000e\u0000a\u0000r\u0000d\u0000 \u0000a\u0000n\u0000d\u0000 \u0000m\u0000u\u0000s\u0000t\u0000a\u0000c\u0000h\u0000e\u0000 \u0000a\u0000n\u0000d\u0000 \u0000i\u0000s\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000s\u0000u\u0000i\u0000t\u0000 \u0000j\u0000a\u0000c\u0000k\u0000e\u0000t\u0000 \u0000o\u0000v\u0000e\u0000r\u0000 \u0000a\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000i\u0000s\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000m\u0000o\u0000d\u0000e\u0000r\u0000n\u0000,\u0000 \u0000s\u0000p\u0000e\u0000c\u0000i\u0000f\u0000i\u0000c\u0000a\u0000l\u0000l\u0000y\u0000 \u0000a\u0000 \u0000f\u0000o\u0000r\u0000m\u0000a\u0000l\u0000,\u0000 \u0000l\u0000i\u0000k\u0000e\u0000l\u0000y\u0000 \u0000a\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000s\u0000o\u0000c\u0000c\u0000e\u0000r\u0000 \u0000p\u0000l\u0000a\u0000y\u0000e\u0000r\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000t\u0000h\u0000e\u0000 \u0000t\u0000o\u0000p\u0000 \u0000s\u0000e\u0000c\u0000t\u0000i\u0000o\u0000n\u0000 \u0000n\u0000e\u0000a\u0000t\u0000l\u0000y\u0000 \u0000c\u0000o\u0000m\u0000b\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000i\u0000s\u0000 \u0000s\u0000l\u0000i\u0000g\u0000h\u0000t\u0000l\u0000y\u0000 \u0000b\u0000l\u0000u\u0000r\u0000r\u0000e\u0000d\u0000 \u0000b\u0000u\u0000t\u0000 \u0000s\u0000u\u0000g\u0000g\u0000e\u0000s\u0000t\u0000s\u0000 \u0000a\u0000n\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000 \u0000s\u0000e\u0000t\u0000t\u0000i\u0000n\u0000g\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000f\u0000o\u0000l\u0000i\u0000a\u0000g\u0000e\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000h\u0000i\u0000n\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000c\u0000l\u0000e\u0000a\u0000r\u0000,\u0000 \u0000n\u0000e\u0000a\u0000t\u0000l\u0000y\u0000 \u0000c\u0000o\u0000m\u0000b\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000,\u0000 \u0000u\u0000n\u0000s\u0000m\u0000i\u0000l\u0000i\u0000n\u0000g\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000.\u0000"
image = pipe(prompt).images[0]

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

Sakharov Flux

Prompt

UNICODEshort beard and mustache and is wearing a dark suit jacket over a white shirt. His hair is styled in a modern, specifically a formal, likely a professional soccer player, with the top section neatly combed back. The background is slightly blurred but suggests an outdoor setting with green foliage and a hint of a clear, neatly combed back, unsmiling expression.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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Model tree for Rakamik/saklh

Base model

black-forest-labs/FLUX.1-dev

Adapter

(42705)

this model