Neoncryptstyle
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).
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 183 MB
- Modelo base
- krea/Krea-2-Raw
- Versión
- vRevision 2afb596
- Actualizado
- 25 sept 2026
- Descargas
- 12
- Tareas
- Texto a imagen
- Fuente
- Hugging Face
Extracto de la fuente
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).
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 25 sept
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- base_model: krea/Krea-2-Raw tags: - text-to-image - diffusers - lora - krea2 - template:sd-lora license: apache-2.0 instance_prompt: "neoncrypt style" widget: - text: "<neoncrypt style>, a lone astronaut exploring an abandoned lunar research station" output: url: sample_0.png - text: "<neoncrypt style>, an ancient wooden sailing ship trapped inside a frozen cavern" output: url: sample_1.png - text: "<neoncrypt style>, a deserted roadside diner surrounded by wheat fields beneath an approaching storm" output: url: sample_2.png --- # Krea 2 LoRA — IronBloodhound/neoncryptstyle <Gallery /> 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 phrase `neoncrypt style` to invoke the concept. ## Samples  > *"<neoncrypt style>, a lone astronaut exploring an abandoned lunar research station"*  > *"<neoncrypt style>, an ancient wooden sailing ship trapped inside a frozen cavern"*  > *"<neoncrypt style>, a deserted roadside diner surrounded by wheat fields beneath an approaching storm"* ## Use it with diffusers ```py import torch from diffusers import Krea2Pipeline pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda") pipe.load_lora_weights("IronBloodhound/neoncryptstyle") image = pipe("<neoncrypt style>, a lone astronaut exploring an abandoned lunar research station", num_inference_steps=8, guidance_scale=0.0).images[0] image.save("output.png") ```
Source context: 12 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo IronBloodhound/neoncryptstyle
