Instructions to use lloydchristmas1231/chermon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/chermon 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("lloydchristmas1231/chermon") prompt = "A cinematic shot of a chermon floating weightlessly inside a futuristic neon-lit cyberpunk laboratory, surrounded by holographic data screens." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ lloydchristmas1231/chermon

- Prompt
- A cinematic shot of a chermon floating weightlessly inside a futuristic neon-lit cyberpunk laboratory, surrounded by holographic data screens.

- Prompt
- A rustic oil painting of a chermon resting on a mossy stone in a sun-drenched ancient forest with golden light filtering through leaves.

- Prompt
- A high-fashion editorial photo of a chermon wearing a tiny velvet cape, posed elegantly against a minimalist stark white gallery wall.
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 chermon to invoke the concept.
Samples
"A cinematic shot of a chermon floating weightlessly inside a futuristic neon-lit cyberpunk laboratory, surrounded by holographic data screens."
"A rustic oil painting of a chermon resting on a mossy stone in a sun-drenched ancient forest with golden light filtering through leaves."
"A high-fashion editorial photo of a chermon wearing a tiny velvet cape, posed elegantly against a minimalist stark white gallery wall."
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("lloydchristmas1231/chermon")
image = pipe("A cinematic shot of a chermon floating weightlessly inside a futuristic neon-lit cyberpunk laboratory, surrounded by holographic data screens.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for lloydchristmas1231/chermon
Base model
krea/Krea-2-Raw

