Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
concept
exploration
cave
purz
flux1.d
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("Purz/cave-exploration")
prompt = "c4v3, a beach with a cave in the middle of it\n"
image = pipe(prompt).images[0]Cave Exploration
- Prompt
- c4v3, a beach with a cave in the middle of it
- Prompt
- c4v3,a cave with a small lake in the middle of it surrounded by lush green trees and plants. the lake is still and peaceful reflecting the trees and sky above. a person standing in the middle of a tunnel
- Prompt
- c4ve, a scary and foggy deep cave
- Prompt
- c4ve, a scary and foggy deep cave
Model description
Cave Exploration - LoRA (Flux.1 D)
Trained on images of cave exploration, use it to render realistic cave interiors.
"c4v3, a dark and foggy cave, opening into a beautiful sunset"
Purz
Website: https://www.purz.xyz/
Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats
Patreon: https://www.patreon.com/Purz
Twitter/X: https://x.com/PurzBeats
Instagram: https://www.instagram.com/purzbeats/
Trigger words
You should use c4ve to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Purz/cave-exploration', weight_name='purz-cave-exploration.safetensors')
image = pipeline('c4ve, a scary and foggy deep cave').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for Purz/cave-exploration
Base model
black-forest-labs/FLUX.1-dev