298977887/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-03-15 05:57:20 +00:00
Code Issues Packages Projects Releases Wiki Activity

Cleanup some lumina te code.

Browse Source
This commit is contained in:
comfyanonymous 2025-02-25 04:10:26 -05:00
parent 96d891cb94
commit f40076096e
1 changed files with 4 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
comfy/text_encoders/lumina2.py
View File

@ -19,11 +19,6 @@ class LuminaTokenizer(sd1_clip.SD1Tokenizer):
class Gemma2_2BModel(sd1_clip.SDClipModel): class Gemma2_2BModel(sd1_clip.SDClipModel):
def __init__(self, device="cpu", layer="hidden", layer_idx=-2, dtype=None, attention_mask=True, model_options={}): def __init__(self, device="cpu", layer="hidden", layer_idx=-2, dtype=None, attention_mask=True, model_options={}):
llama_scaled_fp8 = model_options.get("llama_scaled_fp8", None)
if llama_scaled_fp8 is not None:
model_options = model_options.copy()
model_options["scaled_fp8"] = llama_scaled_fp8
super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"start": 2, "pad": 0}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Gemma2_2B, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"start": 2, "pad": 0}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Gemma2_2B, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options)
@ -35,10 +30,10 @@ class LuminaModel(sd1_clip.SD1ClipModel):
def te(dtype_llama=None, llama_scaled_fp8=None): def te(dtype_llama=None, llama_scaled_fp8=None):
class LuminaTEModel_(LuminaModel): class LuminaTEModel_(LuminaModel):
def __init__(self, device="cpu", dtype=None, model_options={}): def __init__(self, device="cpu", dtype=None, model_options={}):
if llama_scaled_fp8 is not None and "llama_scaled_fp8" not in model_options: if llama_scaled_fp8 is not None and "scaled_fp8" not in model_options:
model_options = model_options.copy() model_options = model_options.copy()
model_options["llama_scaled_fp8"] = llama_scaled_fp8 model_options["scaled_fp8"] = llama_scaled_fp8
if dtype_llama is not None: if dtype_llama is not None:
dtype = dtype_llama dtype = dtype_llama
super().__init__(device=device, dtype=dtype, model_options=model_options) super().__init__(device=device, dtype=dtype, model_options=model_options)
return LuminaTEModel_ return LuminaTEModel_