Instructions to use Jonjew/DPRandomReality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DPRandomReality 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("Jonjew/DPRandomReality") prompt = "randomReality" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
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Model tree for Jonjew/DPRandomReality
Base model
black-forest-labs/FLUX.1-dev