license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-image
base_model:
- RudySen/Krea2-Realism-Checkpoint
tags:
- krea2
- text-to-image
Krea2 Realism (diffusers transformer)
A diffusers-format copy of the transformer from RudySen/Krea2-Realism-Checkpoint (Krea2Realism_V1.safetensors), a realism finetune of Krea 2 Turbo by RudySen. All credit for the model goes to RudySen and Krea.
The original FP8 ComfyUI file was dequantized (per-tensor weight_scale) to bfloat16 and renamed to the diffusers Krea2Transformer2DModel layout. No weights were retrained or merged.
This repo only holds the transformer. Use the text encoder, tokenizer, VAE and scheduler from Krea 2 Turbo.
import torch
from diffusers import Krea2Pipeline, Krea2Transformer2DModel
transformer = Krea2Transformer2DModel.from_pretrained(
"mrfakename/Krea2-Realism-diffusers", subfolder="transformer", torch_dtype=torch.bfloat16
)
pipe = Krea2Pipeline.from_pretrained(
"krea/Krea-2-Turbo", transformer=transformer, torch_dtype=torch.bfloat16
).to("cuda")
image = pipe(
"a candid street photo of an old man reading a newspaper at a cafe, soft morning light",
height=1792, width=1152, num_inference_steps=6, guidance_scale=0.0,
).images[0]
Recommended settings from the original card: 6 steps (4 to 8), no CFG (guidance_scale=0.0 in diffusers, CFG 1.0 in ComfyUI), about 2MP (for example 1152 × 1792).
Use of the base model is also subject to the Krea 2 Community License and the Krea Acceptable Use Policy.