Merge branch 'master' into dr-support-pip-cm

This commit is contained in:
Dr.Lt.Data
2025-04-20 19:08:51 +09:00
42 changed files with 1537 additions and 222 deletions

View File

@@ -918,7 +918,7 @@ class CLIPLoader:
@classmethod
def INPUT_TYPES(s):
return {"required": { "clip_name": (folder_paths.get_filename_list("text_encoders"), ),
"type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio", "mochi", "ltxv", "pixart", "cosmos", "lumina2", "wan"], ),
"type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio", "mochi", "ltxv", "pixart", "cosmos", "lumina2", "wan", "hidream"], ),
},
"optional": {
"device": (["default", "cpu"], {"advanced": True}),
@@ -928,29 +928,10 @@ class CLIPLoader:
CATEGORY = "advanced/loaders"
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"
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"
def load_clip(self, clip_name, type="stable_diffusion", device="default"):
if type == "stable_cascade":
clip_type = comfy.sd.CLIPType.STABLE_CASCADE
elif type == "sd3":
clip_type = comfy.sd.CLIPType.SD3
elif type == "stable_audio":
clip_type = comfy.sd.CLIPType.STABLE_AUDIO
elif type == "mochi":
clip_type = comfy.sd.CLIPType.MOCHI
elif type == "ltxv":
clip_type = comfy.sd.CLIPType.LTXV
elif type == "pixart":
clip_type = comfy.sd.CLIPType.PIXART
elif type == "cosmos":
clip_type = comfy.sd.CLIPType.COSMOS
elif type == "lumina2":
clip_type = comfy.sd.CLIPType.LUMINA2
elif type == "wan":
clip_type = comfy.sd.CLIPType.WAN
else:
clip_type = comfy.sd.CLIPType.STABLE_DIFFUSION
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
model_options = {}
if device == "cpu":
@@ -965,7 +946,7 @@ class DualCLIPLoader:
def INPUT_TYPES(s):
return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ),
"clip_name2": (folder_paths.get_filename_list("text_encoders"), ),
"type": (["sdxl", "sd3", "flux", "hunyuan_video"], ),
"type": (["sdxl", "sd3", "flux", "hunyuan_video", "hidream"], ),
},
"optional": {
"device": (["default", "cpu"], {"advanced": True}),
@@ -975,19 +956,13 @@ class DualCLIPLoader:
CATEGORY = "advanced/loaders"
DESCRIPTION = "[Recipes]\n\nsdxl: clip-l, clip-g\nsd3: clip-l, clip-g / clip-l, t5 / clip-g, t5\nflux: clip-l, t5"
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"
def load_clip(self, clip_name1, clip_name2, type, device="default"):
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
clip_path1 = folder_paths.get_full_path_or_raise("text_encoders", clip_name1)
clip_path2 = folder_paths.get_full_path_or_raise("text_encoders", clip_name2)
if type == "sdxl":
clip_type = comfy.sd.CLIPType.STABLE_DIFFUSION
elif type == "sd3":
clip_type = comfy.sd.CLIPType.SD3
elif type == "flux":
clip_type = comfy.sd.CLIPType.FLUX
elif type == "hunyuan_video":
clip_type = comfy.sd.CLIPType.HUNYUAN_VIDEO
model_options = {}
if device == "cpu":
@@ -2285,7 +2260,9 @@ def init_builtin_extra_nodes():
"nodes_hunyuan3d.py",
"nodes_primitive.py",
"nodes_cfg.py",
"nodes_optimalsteps.py"
"nodes_optimalsteps.py",
"nodes_hidream.py",
"nodes_fresca.py",
]
import_failed = []