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Hidream: Allow loading hidream text encoders in CLIPLoader and DualCLIPLoader (#7676)
* Hidream: Allow partial loading text encoders * reformat code for ruff check.
This commit is contained in:
8
nodes.py
8
nodes.py
@@ -917,7 +917,7 @@ class CLIPLoader:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": { "clip_name": (folder_paths.get_filename_list("text_encoders"), ),
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"type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio", "mochi", "ltxv", "pixart", "cosmos", "lumina2", "wan"], ),
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"type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio", "mochi", "ltxv", "pixart", "cosmos", "lumina2", "wan", "hidream"], ),
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},
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"optional": {
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"device": (["default", "cpu"], {"advanced": True}),
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@@ -927,7 +927,7 @@ class CLIPLoader:
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CATEGORY = "advanced/loaders"
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DESCRIPTION = "[Recipes]\n\nstable_diffusion: clip-l\nstable_cascade: clip-g\nsd3: t5 xxl/ clip-g / clip-l\nstable_audio: t5 base\nmochi: t5 xxl\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl"
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DESCRIPTION = "[Recipes]\n\nstable_diffusion: clip-l\nstable_cascade: clip-g\nsd3: t5 xxl/ clip-g / clip-l\nstable_audio: t5 base\nmochi: t5 xxl\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl\n hidream: llama-3.1 (Recommend) or t5"
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def load_clip(self, clip_name, type="stable_diffusion", device="default"):
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clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
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@@ -945,7 +945,7 @@ class DualCLIPLoader:
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def INPUT_TYPES(s):
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return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ),
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"clip_name2": (folder_paths.get_filename_list("text_encoders"), ),
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"type": (["sdxl", "sd3", "flux", "hunyuan_video"], ),
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"type": (["sdxl", "sd3", "flux", "hunyuan_video", "hidream"], ),
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},
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"optional": {
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"device": (["default", "cpu"], {"advanced": True}),
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@@ -955,7 +955,7 @@ class DualCLIPLoader:
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CATEGORY = "advanced/loaders"
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DESCRIPTION = "[Recipes]\n\nsdxl: clip-l, clip-g\nsd3: clip-l, clip-g / clip-l, t5 / clip-g, t5\nflux: clip-l, t5"
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DESCRIPTION = "[Recipes]\n\nsdxl: clip-l, clip-g\nsd3: clip-l, clip-g / clip-l, t5 / clip-g, t5\nflux: clip-l, t5\nhidream: at least one of t5 or llama, recommended t5 and llama"
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def load_clip(self, clip_name1, clip_name2, type, device="default"):
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clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
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