Instructions to use stabilityai/stable-diffusion-3-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use stabilityai/stable-diffusion-3-medium with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
not working
i have forged installed ,, and I place it into models folders ,, after selecting model it not generating any image ,, help me pls ..
[Loading weights [3bb7f21bc5] from C:\sd\forged\webui\models\Stable-diffusion\sd3_medium_incl_clips.safetensors
Traceback (most recent call last):
File "C:\sd\forged\webui\modules_forge\main_thread.py", line 37, in loop
task.work()
File "C:\sd\forged\webui\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "C:\sd\forged\webui\modules\sd_models.py", line 628, in reload_model_weights
return load_model(info)
File "C:\sd\forged\webui\modules\sd_models.py", line 585, in load_model
sd_model = forge_loader.load_model_for_a1111(timer=timer, checkpoint_info=checkpoint_info, state_dict=state_dict)
File "C:\sd\forged\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\sd\forged\webui\modules_forge\forge_loader.py", line 154, in load_model_for_a1111
forge_objects = load_checkpoint_guess_config(
File "C:\sd\forged\webui\modules_forge\forge_loader.py", line 91, in load_checkpoint_guess_config
model_config = model_detection.model_config_from_unet(sd, "model.diffusion_model.", unet_dtype)
File "C:\sd\forged\webui\ldm_patched\modules\model_detection.py", line 167, in model_config_from_unet
unet_config = detect_unet_config(state_dict, unet_key_prefix, dtype)
File "C:\sd\forged\webui\ldm_patched\modules\model_detection.py", line 53, in detect_unet_config
model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0]]
i think you need all text encode