I'm doing my best. It's okay if you don't like this model. I'm always doing my best! Just because I'm a beginner, I won't blindly shrink back.Description
저장용 다른분들 좋은 모델들이 너무 많아서 그냥 이건 저장용으로 올려둡니다 손 때문에 약하게 입혔습니다
FAQ
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finally a good anime model for flux
can fp8 be lora fine tuned? i want to add my own art
Is this model a continuation of lyh_anime_Flux?
I got this message if I try to use it (other flux checkpoints work)
Loading Model: {'checkpoint_info': {'filename': '/home/user/ai/stable-diffusion-webui-forge/models/Stable-diffusion/Flux_Anime_lyhAnime_korIl01.safetensors', 'hash': 'a759d5d7'}, 'additional_modules': [], 'unet_storage_dtype': None} StateDict Keys: {'transformer': 780, 'vae': 0, 'ignore': 0} Traceback (most recent call last): File "/home/user/ai/stable-diffusion-webui-forge/modules_forge/main_thread.py", line 30, in work self.result = self.func(*self.args, **self.kwargs) File "/home/user/ai/stable-diffusion-webui-forge/modules/txt2img.py", line 131, in txt2img_function processed = processing.process_images(p) File "/home/user/ai/stable-diffusion-webui-forge/modules/processing.py", line 836, in process_images manage_model_and_prompt_cache(p) File "/home/user/ai/stable-diffusion-webui-forge/modules/processing.py", line 804, in manage_model_and_prompt_cache p.sd_model, just_reloaded = forge_model_reload() File "/home/user/ai/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/home/user/ai/stable-diffusion-webui-forge/modules/sd_models.py", line 504, in forge_model_reload sd_model = forge_loader(state_dict, additional_state_dicts=additional_state_dicts) File "/home/user/ai/stable-diffusion-webui-forge/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/home/user/ai/stable-diffusion-webui-forge/backend/loader.py", line 498, in forge_loader component = load_huggingface_component(estimated_config, component_name, lib_name, cls_name, local_path, component_sd) File "/home/user/ai/stable-diffusion-webui-forge/backend/loader.py", line 62, in load_huggingface_component assert isinstance(state_dict, dict) and len(state_dict) > 16, 'You do not have CLIP state dict!' AssertionError: You do not have CLIP state dict! You do not have CLIP state dict!For Forge (or Easy Diffusion beta with the Forge backend), you need to select in the VAE /Text Encoder box 3 things: clip, VAE, and text encoder. These are the names of the ones I used: clip_I.safetensors, diffusion_pytorch_model.safetensors, and t5-v1_1-xxl-encoder-Q5_k_s.gguf.
Hi, Any plan for a GGUF Lower Quant? The VRAM requirement is a bit high for us local runners. And new GPUs are also 8GB thanks to Nvidia.
The license says that the outputs can be used commercially. Is this correct?
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