metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- character
- dinosaur
- cartoon
- denver
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: green dinosaur
widget:
- text: >-
A green dinosaur is a DJ at a night club, fish eye lens, smoke machine,
lazer lights, holding a martini
output:
url: 29750722.jpeg
- text: >-
green dinosaur is smoking a Marijuana joint next to a Marijuana plant in a
pot
output:
url: 29750719.jpeg
- text: green dinosaur wearing a "Founder Mode" cap
output:
url: 29750721.jpeg
- text: green dinosaur eating spaghetti
output:
url: 29750717.jpeg
- text: A green dinosaur dressed as a Pokemon trainer standing next to a Pikachu
output:
url: 29750718.jpeg
- text: A green dinosaur in a leather jacket riding a motorcycle in the desert
output:
url: 29750720.jpeg
Denver, the Last Dinosaur [FLUX]
Trained with astria.ai
Also available on CivitAI
Model description
Denver, the last dinosaur was a cartoon show airing ~1988-1990
Use the phrase "green dinosaur" in your prompts to trigger the generation
"Denver, the last dinosaur He's my friend and a whole lot more"
Trigger words
You should use green dinosaur
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('Norod78/denver-the-last-dinosaur-flux', weight_name='FLUX-Denver_The_Last_Dinosaur-LoRA_1613653.safetensors')
image = pipeline('A green dinosaur is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers