fix krea typo

2026-03-18 22:08:13 +00:00 · 2025-08-01 17:13:45 +08:00
parent b63f81c6e3
commit b2554db100
10 changed files with 16 additions and 16 deletions
--- a/README.md
+++ b/README.md
@@ -90,7 +90,7 @@ image.save("image.jpg")
 | Model ID | Extra Parameters | Inference | Low VRAM Inference | Full Training | Validate After Full Training | LoRA Training | Validate After LoRA Training |
 |-|-|-|-|-|-|-|-|
 |[FLUX.1-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-dev)||[code](./examples/flux/model_inference/FLUX.1-dev.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-dev.py)|[code](./examples/flux/model_training/full/FLUX.1-dev.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-dev.py)|[code](./examples/flux/model_training/lora/FLUX.1-dev.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-dev.py)|
-|[FLUX.1-Kera-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./examples/flux/model_inference/FLUX.1-Kera-dev.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-Kera-dev.py)|[code](./examples/flux/model_training/full/FLUX.1-Kera-dev.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-Kera-dev.py)|[code](./examples/flux/model_training/lora/FLUX.1-Kera-dev.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-Kera-dev.py)|
+|[FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./examples/flux/model_inference/FLUX.1-Krea-dev.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-Krea-dev.py)|[code](./examples/flux/model_training/full/FLUX.1-Krea-dev.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-Krea-dev.py)|[code](./examples/flux/model_training/lora/FLUX.1-Krea-dev.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-Krea-dev.py)|
 |[FLUX.1-Kontext-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Kontext-dev)|`kontext_images`|[code](./examples/flux/model_inference/FLUX.1-Kontext-dev.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-Kontext-dev.py)|[code](./examples/flux/model_training/full/FLUX.1-Kontext-dev.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-Kontext-dev.py)|[code](./examples/flux/model_training/lora/FLUX.1-Kontext-dev.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-Kontext-dev.py)|
 |[FLUX.1-dev-Controlnet-Inpainting-Beta](https://www.modelscope.cn/models/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta)|`controlnet_inputs`|[code](./examples/flux/model_inference/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./examples/flux/model_training/full/FLUX.1-dev-Controlnet-Inpainting-Beta.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./examples/flux/model_training/lora/FLUX.1-dev-Controlnet-Inpainting-Beta.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|
 |[FLUX.1-dev-Controlnet-Union-alpha](https://www.modelscope.cn/models/InstantX/FLUX.1-dev-Controlnet-Union-alpha)|`controlnet_inputs`|[code](./examples/flux/model_inference/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./examples/flux/model_training/full/FLUX.1-dev-Controlnet-Union-alpha.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./examples/flux/model_training/lora/FLUX.1-dev-Controlnet-Union-alpha.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-dev-Controlnet-Union-alpha.py)|
@@ -321,7 +321,7 @@ https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/59fb2f7b-8de0-44


 ## Update History
- **August 1, 2025** [FLUX.1-Kera-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev) with a focus on aesthetic photography is comprehensively supported, including low-GPU-memory layer-by-layer offload, LoRA training and full training. See [./examples/flux/](./examples/flux/).
+- **August 1, 2025** [FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev) with a focus on aesthetic photography is comprehensively supported, including low-GPU-memory layer-by-layer offload, LoRA training and full training. See [./examples/flux/](./examples/flux/).

 - **July 28, 2025** 🔥🔥🔥 With the open-sourcing of Wan 2.2, we immediately provided comprehensive support, including low-GPU-memory layer-by-layer offload, FP8 quantization, sequence parallelism, LoRA training, full training. See [./examples/wanvideo/](./examples/wanvideo/).

--- a/README_zh.md
+++ b/README_zh.md
@@ -150,7 +150,7 @@ save_video(video, "video1.mp4", fps=15, quality=5)
 |模型 ID|额外参数|推理|全量训练|全量训练后验证|LoRA 训练|LoRA 训练后验证|
 |-|-|-|-|-|-|-|
 |[Wan-AI/Wan2.2-I2V-A14B](https://modelscope.cn/models/Wan-AI/Wan2.2-I2V-A14B)|`input_image`|[code](./examples/wanvideo/model_inference/Wan2.2-I2V-A14B.py)|[code](./examples/wanvideo/model_training/full/Wan2.2-I2V-A14B.sh)|[code](./examples/wanvideo/model_training/validate_full/Wan2.2-I2V-A14B.py)|[code](./examples/wanvideo/model_training/lora/Wan2.2-I2V-A14B.sh)|[code](./examples/wanvideo/model_training/validate_lora/Wan2.2-I2V-A14B.py)|
-|[FLUX.1-Kera-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./examples/flux/model_inference/FLUX.1-Kera-dev.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-Kera-dev.py)|[code](./examples/flux/model_training/full/FLUX.1-Kera-dev.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-Kera-dev.py)|[code](./examples/flux/model_training/lora/FLUX.1-Kera-dev.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-Kera-dev.py)|
+|[FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./examples/flux/model_inference/FLUX.1-Krea-dev.py)|[code](./examples/flux/model_inference_low_vram/FLUX.1-Krea-dev.py)|[code](./examples/flux/model_training/full/FLUX.1-Krea-dev.sh)|[code](./examples/flux/model_training/validate_full/FLUX.1-Krea-dev.py)|[code](./examples/flux/model_training/lora/FLUX.1-Krea-dev.sh)|[code](./examples/flux/model_training/validate_lora/FLUX.1-Krea-dev.py)|
 |[Wan-AI/Wan2.2-T2V-A14B](https://modelscope.cn/models/Wan-AI/Wan2.2-T2V-A14B)||[code](./examples/wanvideo/model_inference/Wan2.2-T2V-A14B.py)|[code](./examples/wanvideo/model_training/full/Wan2.2-T2V-A14B.sh)|[code](./examples/wanvideo/model_training/validate_full/Wan2.2-T2V-A14B.py)|[code](./examples/wanvideo/model_training/lora/Wan2.2-T2V-A14B.sh)|[code](./examples/wanvideo/model_training/validate_lora/Wan2.2-T2V-A14B.py)|
 |[Wan-AI/Wan2.2-TI2V-5B](https://modelscope.cn/models/Wan-AI/Wan2.2-TI2V-5B)|`input_image`|[code](./examples/wanvideo/model_inference/Wan2.2-TI2V-5B.py)|[code](./examples/wanvideo/model_training/full/Wan2.2-TI2V-5B.sh)|[code](./examples/wanvideo/model_training/validate_full/Wan2.2-TI2V-5B.py)|[code](./examples/wanvideo/model_training/lora/Wan2.2-TI2V-5B.sh)|[code](./examples/wanvideo/model_training/validate_lora/Wan2.2-TI2V-5B.py)|
 |[Wan-AI/Wan2.1-T2V-1.3B](https://modelscope.cn/models/Wan-AI/Wan2.1-T2V-1.3B)||[code](./examples/wanvideo/model_inference/Wan2.1-T2V-1.3B.py)|[code](./examples/wanvideo/model_training/full/Wan2.1-T2V-1.3B.sh)|[code](./examples/wanvideo/model_training/validate_full/Wan2.1-T2V-1.3B.py)|[code](./examples/wanvideo/model_training/lora/Wan2.1-T2V-1.3B.sh)|[code](./examples/wanvideo/model_training/validate_lora/Wan2.1-T2V-1.3B.py)|
@@ -337,7 +337,7 @@ https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/59fb2f7b-8de0-44


 ## 更新历史
- **2025年8月1日** [FLUX.1-Kera-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev) 开源，这是一个专注于美学摄影的文生图模型。我们第一时间提供了全方位支持，包括低显存逐层 offload、LoRA 训练、全量训练。详细信息请参考 [./examples/flux/](./examples/flux/)。
+- **2025年8月1日** [FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev) 开源，这是一个专注于美学摄影的文生图模型。我们第一时间提供了全方位支持，包括低显存逐层 offload、LoRA 训练、全量训练。详细信息请参考 [./examples/flux/](./examples/flux/)。

 - **2025年7月28日** 🔥🔥🔥 Wan 2.2 开源，我们第一时间提供了全方位支持，包括低显存逐层 offload、FP8 量化、序列并行、LoRA 训练、全量训练。详细信息请参考 [./examples/wanvideo/](./examples/wanvideo/)。

--- a/examples/flux/README.md
+++ b/examples/flux/README.md
@@ -44,7 +44,7 @@ image.save("image.jpg")
 |Model ID|Extra Args|Inference|Low VRAM Inference|Full Training|Validation after Full Training|LoRA Training|Validation after LoRA Training|
 |-|-|-|-|-|-|-|-|
 |[FLUX.1-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-dev)||[code](./model_inference/FLUX.1-dev.py)|[code](./model_inference_low_vram/FLUX.1-dev.py)|[code](./model_training/full/FLUX.1-dev.sh)|[code](./model_training/validate_full/FLUX.1-dev.py)|[code](./model_training/lora/FLUX.1-dev.sh)|[code](./model_training/validate_lora/FLUX.1-dev.py)|
-|[FLUX.1-Kera-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./model_inference/FLUX.1-Kera-dev.py)|[code](./model_inference_low_vram/FLUX.1-Kera-dev.py)|[code](./model_training/full/FLUX.1-Kera-dev.sh)|[code](./model_training/validate_full/FLUX.1-Kera-dev.py)|[code](./model_training/lora/FLUX.1-Kera-dev.sh)|[code](./model_training/validate_lora/FLUX.1-Kera-dev.py)|
+|[FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./model_inference/FLUX.1-Krea-dev.py)|[code](./model_inference_low_vram/FLUX.1-Krea-dev.py)|[code](./model_training/full/FLUX.1-Krea-dev.sh)|[code](./model_training/validate_full/FLUX.1-Krea-dev.py)|[code](./model_training/lora/FLUX.1-Krea-dev.sh)|[code](./model_training/validate_lora/FLUX.1-Krea-dev.py)|
 |[FLUX.1-Kontext-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Kontext-dev)|`kontext_images`|[code](./model_inference/FLUX.1-Kontext-dev.py)|[code](./model_inference_low_vram/FLUX.1-Kontext-dev.py)|[code](./model_training/full/FLUX.1-Kontext-dev.sh)|[code](./model_training/validate_full/FLUX.1-Kontext-dev.py)|[code](./model_training/lora/FLUX.1-Kontext-dev.sh)|[code](./model_training/validate_lora/FLUX.1-Kontext-dev.py)|
 |[FLUX.1-dev-Controlnet-Inpainting-Beta](https://www.modelscope.cn/models/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta)|`controlnet_inputs`|[code](./model_inference/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./model_inference_low_vram/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./model_training/full/FLUX.1-dev-Controlnet-Inpainting-Beta.sh)|[code](./model_training/validate_full/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./model_training/lora/FLUX.1-dev-Controlnet-Inpainting-Beta.sh)|[code](./model_training/validate_lora/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|
 |[FLUX.1-dev-Controlnet-Union-alpha](https://www.modelscope.cn/models/InstantX/FLUX.1-dev-Controlnet-Union-alpha)|`controlnet_inputs`|[code](./model_inference/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./model_inference_low_vram/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./model_training/full/FLUX.1-dev-Controlnet-Union-alpha.sh)|[code](./model_training/validate_full/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./model_training/lora/FLUX.1-dev-Controlnet-Union-alpha.sh)|[code](./model_training/validate_lora/FLUX.1-dev-Controlnet-Union-alpha.py)|
--- a/examples/flux/README_zh.md
+++ b/examples/flux/README_zh.md
@@ -44,7 +44,7 @@ image.save("image.jpg")
 |模型 ID|额外参数|推理|低显存推理|全量训练|全量训练后验证|LoRA 训练|LoRA 训练后验证|
 |-|-|-|-|-|-|-|-|
 |[FLUX.1-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-dev)||[code](./model_inference/FLUX.1-dev.py)|[code](./model_inference_low_vram/FLUX.1-dev.py)|[code](./model_training/full/FLUX.1-dev.sh)|[code](./model_training/validate_full/FLUX.1-dev.py)|[code](./model_training/lora/FLUX.1-dev.sh)|[code](./model_training/validate_lora/FLUX.1-dev.py)|
-|[FLUX.1-Kera-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./model_inference/FLUX.1-Kera-dev.py)|[code](./model_inference_low_vram/FLUX.1-Kera-dev.py)|[code](./model_training/full/FLUX.1-Kera-dev.sh)|[code](./model_training/validate_full/FLUX.1-Kera-dev.py)|[code](./model_training/lora/FLUX.1-Kera-dev.sh)|[code](./model_training/validate_lora/FLUX.1-Kera-dev.py)|
+|[FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev)||[code](./model_inference/FLUX.1-Krea-dev.py)|[code](./model_inference_low_vram/FLUX.1-Krea-dev.py)|[code](./model_training/full/FLUX.1-Krea-dev.sh)|[code](./model_training/validate_full/FLUX.1-Krea-dev.py)|[code](./model_training/lora/FLUX.1-Krea-dev.sh)|[code](./model_training/validate_lora/FLUX.1-Krea-dev.py)|
 |[FLUX.1-Kontext-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Kontext-dev)|`kontext_images`|[code](./model_inference/FLUX.1-Kontext-dev.py)|[code](./model_inference_low_vram/FLUX.1-Kontext-dev.py)|[code](./model_training/full/FLUX.1-Kontext-dev.sh)|[code](./model_training/validate_full/FLUX.1-Kontext-dev.py)|[code](./model_training/lora/FLUX.1-Kontext-dev.sh)|[code](./model_training/validate_lora/FLUX.1-Kontext-dev.py)|
 |[FLUX.1-dev-Controlnet-Inpainting-Beta](https://www.modelscope.cn/models/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta)|`controlnet_inputs`|[code](./model_inference/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./model_inference_low_vram/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./model_training/full/FLUX.1-dev-Controlnet-Inpainting-Beta.sh)|[code](./model_training/validate_full/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|[code](./model_training/lora/FLUX.1-dev-Controlnet-Inpainting-Beta.sh)|[code](./model_training/validate_lora/FLUX.1-dev-Controlnet-Inpainting-Beta.py)|
 |[FLUX.1-dev-Controlnet-Union-alpha](https://www.modelscope.cn/models/InstantX/FLUX.1-dev-Controlnet-Union-alpha)|`controlnet_inputs`|[code](./model_inference/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./model_inference_low_vram/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./model_training/full/FLUX.1-dev-Controlnet-Union-alpha.sh)|[code](./model_training/validate_full/FLUX.1-dev-Controlnet-Union-alpha.py)|[code](./model_training/lora/FLUX.1-dev-Controlnet-Union-alpha.sh)|[code](./model_training/validate_lora/FLUX.1-dev-Controlnet-Union-alpha.py)|
--- a/examples/flux/model_inference/FLUX.1-Krea-dev.py
+++ b/examples/flux/model_inference/FLUX.1-Krea-dev.py
@@ -17,11 +17,11 @@ prompt = "An beautiful woman is riding a bicycle in a park, wearing a red dress"
 negative_prompt = "worst quality, low quality, monochrome, zombie, interlocked fingers, Aissist, cleavage, nsfw,"

 image = pipe(prompt=prompt, seed=0, embedded_guidance=4.5)
-image.save("flux_kera.jpg")
+image.save("flux_krea.jpg")

 image = pipe(
    prompt=prompt, negative_prompt=negative_prompt,
    seed=0, cfg_scale=2, num_inference_steps=50,
    embedded_guidance=4.5
 )
-image.save("flux_kera_cfg.jpg")
+image.save("flux_krea_cfg.jpg")
--- a/examples/flux/model_inference_low_vram/FLUX.1-Krea-dev.py
+++ b/examples/flux/model_inference_low_vram/FLUX.1-Krea-dev.py
@@ -18,11 +18,11 @@ prompt = "An beautiful woman is riding a bicycle in a park, wearing a red dress"
 negative_prompt = "worst quality, low quality, monochrome, zombie, interlocked fingers, Aissist, cleavage, nsfw,"

 image = pipe(prompt=prompt, seed=0, embedded_guidance=4.5)
-image.save("flux_kera.jpg")
+image.save("flux_krea.jpg")

 image = pipe(
    prompt=prompt, negative_prompt=negative_prompt,
    seed=0, cfg_scale=2, num_inference_steps=50,
    embedded_guidance=4.5
 )
-image.save("flux_kera_cfg.jpg")
+image.save("flux_krea_cfg.jpg")
--- a/examples/flux/model_training/full/FLUX.1-Krea-dev.sh
+++ b/examples/flux/model_training/full/FLUX.1-Krea-dev.sh
@@ -7,6 +7,6 @@ accelerate launch --config_file examples/flux/model_training/full/accelerate_con
  --learning_rate 1e-5 \
  --num_epochs 1 \
  --remove_prefix_in_ckpt "pipe.dit." \
-  --output_path "./models/train/FLUX.1-Kera-dev_full" \
+  --output_path "./models/train/FLUX.1-Krea-dev_full" \
  --trainable_models "dit" \
  --use_gradient_checkpointing
--- a/examples/flux/model_training/lora/FLUX.1-Krea-dev.sh
+++ b/examples/flux/model_training/lora/FLUX.1-Krea-dev.sh
@@ -7,7 +7,7 @@ accelerate launch examples/flux/model_training/train.py \
  --learning_rate 1e-4 \
  --num_epochs 5 \
  --remove_prefix_in_ckpt "pipe.dit." \
-  --output_path "./models/train/FLUX.1-Kera-dev_lora" \
+  --output_path "./models/train/FLUX.1-Krea-dev_lora" \
  --lora_base_model "dit" \
  --lora_target_modules "a_to_qkv,b_to_qkv,ff_a.0,ff_a.2,ff_b.0,ff_b.2,a_to_out,b_to_out,proj_out,norm.linear,norm1_a.linear,norm1_b.linear,to_qkv_mlp" \
  --lora_rank 32 \
--- a/examples/flux/model_training/validate_full/FLUX.1-Krea-dev.py
+++ b/examples/flux/model_training/validate_full/FLUX.1-Krea-dev.py
@@ -13,8 +13,8 @@ pipe = FluxImagePipeline.from_pretrained(
        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
    ],
 )
-state_dict = load_state_dict("models/train/FLUX.1-Kera-dev_full/epoch-0.safetensors")
+state_dict = load_state_dict("models/train/FLUX.1-Krea-dev_full/epoch-0.safetensors")
 pipe.dit.load_state_dict(state_dict)

 image = pipe(prompt="a dog", seed=0)
-image.save("image_FLUX.1-Kera-dev_full.jpg")
+image.save("image_FLUX.1-Krea-dev_full.jpg")
--- a/examples/flux/model_training/validate_lora/FLUX.1-Krea-dev.py
+++ b/examples/flux/model_training/validate_lora/FLUX.1-Krea-dev.py
@@ -12,7 +12,7 @@ pipe = FluxImagePipeline.from_pretrained(
        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
    ],
 )
-pipe.load_lora(pipe.dit, "models/train/FLUX.1-Kera-dev_lora/epoch-4.safetensors", alpha=1)
+pipe.load_lora(pipe.dit, "models/train/FLUX.1-Krea-dev_lora/epoch-4.safetensors", alpha=1)

 image = pipe(prompt="a dog", seed=0)
-image.save("image_FLUX.1-Kera-dev_lora.jpg")
+image.save("image_FLUX.1-Krea-dev_lora.jpg")