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WIP support for Nvidia Cosmos 7B and 14B text to world (video) models.

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comfyanonymous
2025-01-10 09:11:57 -05:00
parent 129d8908f7
commit 2ff3104f70
16 changed files with 3383 additions and 4 deletions
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34
comfy/supported_models.py
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@@ -14,6 +14,7 @@ import comfy.text_encoders.flux
import comfy.text_encoders.genmo
import comfy.text_encoders.lt
import comfy.text_encoders.hunyuan_video
import comfy.text_encoders.cosmos
from . import supported_models_base
from . import latent_formats
@@ -823,6 +824,37 @@ class HunyuanVideo(supported_models_base.BASE):
hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}llama.transformer.".format(pref))
return supported_models_base.ClipTarget(comfy.text_encoders.hunyuan_video.HunyuanVideoTokenizer, comfy.text_encoders.hunyuan_video.hunyuan_video_clip(**hunyuan_detect))
models = [Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, FluxSchnell, GenmoMochi, LTXV, HunyuanVideo]
class Cosmos(supported_models_base.BASE):
unet_config = {
"image_model": "cosmos",
}
sampling_settings = {
"sigma_data": 0.5,
"sigma_max": 80.0,
"sigma_min": 0.002,
}
unet_extra_config = {}
latent_format = latent_formats.Cosmos1CV8x8x8
memory_usage_factor = 2.4 #TODO
supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32] #TODO
vae_key_prefix = ["vae."]
text_encoder_key_prefix = ["text_encoders."]
def get_model(self, state_dict, prefix="", device=None):
out = model_base.CosmosVideo(self, device=device)
return out
def clip_target(self, state_dict={}):
pref = self.text_encoder_key_prefix[0]
t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref))
return supported_models_base.ClipTarget(comfy.text_encoders.cosmos.CosmosT5Tokenizer, comfy.text_encoders.cosmos.te(**t5_detect))
models = [Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, FluxSchnell, GenmoMochi, LTXV, HunyuanVideo, Cosmos]
models += [SVD_img2vid]