KSampler

CLIP Text Encode (Negative Prompt)

FluxGuidance

Preview Image

Unet Loader (GGUF)

DualCLIPLoader (GGUF)

Load VAE

UnloadModel

Empty Latent Image

CLIPLoader (GGUF)

CLIP Text Encode (Positive Prompt)

Extreme close-up photograph of a single tiger eye, direct frontal view. The iris is very detailed and the pupil resembling a dark void. The word "Deck Diavalo" is across the lower portion of the image in large white stylized letters, with brush strokes resembling those made with Japanese calligraphy. Each strand of the thick fur is highly detailed and distinguishable. Natural lighting to capture authentic eye shine and depth.

VAE Decode

Load Flex GGUF

Prompting

CLIP

clip

CONDITIONING

LATENT

samples

IMAGE

images

conditioning

value

model

MODEL

positive

negative

latent_image

git+https://github.com/WASasquatch/img2texture.git@a546609a915caf1dcb84a15bf44b5b639ad924e6

Deck Diavalo

This workflow utilizes Flex.1 Alpha Model to replicate basic Flux.1 Dev Text to Image example with low VRAM settings. Tested on: RTX 3060 Laptop GPU with 6 GB VRAMTime taken per Iteration: ~1.5 s/it 10-15 steps are good enough for good output. Checkpoint: <a href="https://huggingface.co/hum-ma/Flex.1-alpha-GGUF/blob/main/Flex.1-alpha-Q4_0.gguf" target="_blank">Flex.1-alpha-Q4_0.gguf</a>

Flex.1 Alpha Text to Image (Low VRAM)

OpenArt

Workflows

Active Sessions

Flex.1 Alpha Text to Image (Low VRAM)

Description

Discussion

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