How to use from the
Use from the
Diffusers library
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("Jonjew/DPRandomReality")

prompt = "randomReality"
image = pipe(prompt).images[0]

DP Random Reality FLUX

Prompt
randomReality
Prompt
randomReality
Prompt
randomReality
Prompt
randomReality
Prompt
randomReality

Model description

FROM https://civitai.com/models/1258675/dp-random-reality-flux

Trigger randomReality

psychedelic futuristic vibe created by mixing some random art styles in my DP SDXL LAB that you can find in the workflows folder in the ComfyUI-Desert-Pixel-Nodes https://github.com/DesertPixelAi/ComfyUI-Desert-Pixel-Nodes

sample prompt: An alien with iridescent skin piloting a crystalline spaceship through a nebula, randomReality art style, Cyberpunk digital art with intricate linework, geometric patterns, metallic textures and bold contrasts, Psychedelic and futuristic aesthetic, blending reflective surfaces and flowing designs with tribal-mechanical fusion

Trigger words

You should use randomReality to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
8
Inference Providers NEW
Examples

Model tree for Jonjew/DPRandomReality

Adapter
(42608)
this model