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Rtmi Grainy Krea2t

LoRA para Krea-2-Turbo, entrenado originalmente en ModelScope (tostiok/rtmi-grainy-krea2t).

TypeOtherModèle de basekrea/Krea-2-TurboVersionC1 st6000CClasse

Source du modèle

Type
Other
Taille du fichier
112 MB
Modèle de base
krea/Krea-2-Turbo
Version
vC1 st6000
Mis à jour
14 sept. 2026
Source
Hugging Face

Description de la source

rtmi-grainy-krea2t

LoRA para Krea-2-Turbo, entrenado originalmente en ModelScope (tostiok/rtmi-grainy-krea2t).

Checkpoint final del entrenamiento (step 6000): rtmi-grainy-krea2t_c1-st6000.safetensors.

Uso con diffusers

from diffusers import Krea2Pipeline
import torch

pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("furaidosu/rtmi-grainy-krea2t", weight_name="rtmi-grainy-krea2t_c1-st6000.safetensors")
pipe.to("cuda")

image = pipe("tu prompt acá", num_inference_steps=8, guidance_scale=0.0).images[0]

Sources

1 source
Hugging FacePrincipalVersion 802b851c2736f95890d4f4a3978a9a39225bbc3c
huggingface.co/furaidosu/rtmi-grainy-krea2t/tree/802b851c2736f95890d4f4a3978a9a39225bbc3c

Vérifié 8 août

Artefacts du modèle

1 artefact

rtmi-grainy-krea2t_c1-st6000.safetensors

safetensors · 112 MB · SHA-256 3b8dfea617e9…69f6 · Hugging Face

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Extraits de sources

2 extraits

--- base_model: krea/Krea-2-Turbo license: apache-2.0 tags: - lora - text-to-image - krea2 widget: - text: "sample" output: url: images/st6000.png --- # rtmi-grainy-krea2t LoRA para [Krea-2-Turbo](https://huggingface.co/krea/Krea-2-Turbo), entrenado originalmente en ModelScope ([tostiok/rtmi-grainy-krea2t](https://modelscope.ai/models/tostiok/rtmi-grainy-krea2t)). Checkpoint final del entrenamiento (step 6000): `rtmi-grainy-krea2t_c1-st6000.safetensors`. ## Uso con diffusers ```python from diffusers import Krea2Pipeline import torch pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16) pipe.load_lora_weights("furaidosu/rtmi-grainy-krea2t", weight_name="rtmi-grainy-krea2t_c1-st6000.safetensors") pipe.to("cuda") image = pipe("tu prompt acá", num_inference_steps=8, guidance_scale=0.0).images[0] ```

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Repo furaidosu/rtmi-grainy-krea2t