mirror of
https://github.com/vladmandic/automatic
synced 2026-08-26 15:16:01 +02:00
@@ -8,6 +8,8 @@
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- [HiDream-E1](https://huggingface.co/HiDream-ai/HiDream-E1-Full) natural language image-editing model built on HiDream-I1
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available via *networks -> models -> reference*
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*note*: right now hidream-e1 is limited to 768x768 images, so you must force resize image before running it
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- [FramePack](https://github.com/vladmandic/sd-extension-framepack)
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support for **T2V** in addition to **I2V** and **FLF2V**
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- **Other**
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- CUDA: set default to `torch==2.7.0` with `cuda==12.8`
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- FramePack: improve performance
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@@ -114,6 +114,14 @@ class StableDiffusionXLControlNetXSPipeline(
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):
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super().__init__()
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if isinstance(controlnet, list):
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if len(controlnet) == 1:
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controlnet = controlnet[0]
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else:
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raise ValueError(
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"ControlNetXS pipeline only supports a single ControlNetXS model"
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)
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vae_compatible, cnxs_condition_downsample_factor, vae_downsample_factor = controlnet._check_if_vae_compatible(
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vae
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)
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@@ -460,7 +460,7 @@ def calculate_base_steps(p, use_denoise_start, use_refiner_start):
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steps = p.steps
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elif 'HiDreamImageEditingPipeline' in shared.sd_model.__class__.__name__:
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steps = p.steps
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elif shared.sd_model_type == 'omnigen':
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elif shared.sd_model.__class__.__name__ in sd_models.i2i_pipes:
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steps = p.steps
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elif p.denoising_strength > 0:
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steps = (p.steps // p.denoising_strength) + 1
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