Instructions to use funseshon/midri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/midri 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("funseshon/midri") prompt = "A futuristic cybernetic owl perched on a neon-lit skyscraper ledge in a rainy Tokyo alley, MIDRI cinematic lighting, 8k resolution." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ funseshon/midri

- Prompt
- A futuristic cybernetic owl perched on a neon-lit skyscraper ledge in a rainy Tokyo alley, MIDRI cinematic lighting, 8k resolution.

- Prompt
- An ornate gold pocket watch floating inside a swirling cosmic nebula of purple and gold stardust, MIDRI ethereal atmosphere, surrealism.

- Prompt
- A rustic sourdough loaf resting on a flour-dusted wooden table in a sun-drenched Provencal cottage kitchen, MIDRI hyper-realistic textures, soft bokeh.
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 MIDRI to invoke the concept.
Samples
"A futuristic cybernetic owl perched on a neon-lit skyscraper ledge in a rainy Tokyo alley, MIDRI cinematic lighting, 8k resolution."
"An ornate gold pocket watch floating inside a swirling cosmic nebula of purple and gold stardust, MIDRI ethereal atmosphere, surrealism."
"A rustic sourdough loaf resting on a flour-dusted wooden table in a sun-drenched Provencal cottage kitchen, MIDRI hyper-realistic textures, soft bokeh."
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("funseshon/midri")
image = pipe("A futuristic cybernetic owl perched on a neon-lit skyscraper ledge in a rainy Tokyo alley, MIDRI cinematic lighting, 8k resolution.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for funseshon/midri
Base model
krea/Krea-2-Raw

