Instructions to use Ridspen/sarah-rid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ridspen/sarah-rid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ridspen/sarah-rid") prompt = "A futuristic cyborg named Srid standing amidst the neon-drenched skyscrapers of a cyberpunk Tokyo, rain reflecting vivid holographic advertisements on the pavement." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Ridspen/sarah-rid

- Prompt
- A futuristic cyborg named Srid standing amidst the neon-drenched skyscrapers of a cyberpunk Tokyo, rain reflecting vivid holographic advertisements on the pavement.

- Prompt
- A weathered explorer named Srid discovering a glowing ancient temple hidden deep within a lush, prehistoric jungle with giant ferns and exotic birds.

- Prompt
- A whimsical portrait of Srid as a Victorian astronomer, surrounded by brass telescopes and floating star charts in a cozy, candle-lit attic library.
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trigger
Use the token Srid to invoke the concept.
Samples
"A futuristic cyborg named Srid standing amidst the neon-drenched skyscrapers of a cyberpunk Tokyo, rain reflecting vivid holographic advertisements on the pavement."
"A weathered explorer named Srid discovering a glowing ancient temple hidden deep within a lush, prehistoric jungle with giant ferns and exotic birds."
"A whimsical portrait of Srid as a Victorian astronomer, surrounded by brass telescopes and floating star charts in a cozy, candle-lit attic library."
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("Ridspen/sarah-rid")
image = pipe("A futuristic cyborg named Srid standing amidst the neon-drenched skyscrapers of a cyberpunk Tokyo, rain reflecting vivid holographic advertisements on the pavement.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Ridspen/sarah-rid
Base model
krea/Krea-2-Raw

