mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-01-15 16:50:57 +08:00
Support text to image model
This commit is contained in:
parent
292c3576c2
commit
ccfc3ab7cf
@ -1683,3 +1683,13 @@ class Kandinsky5(BaseModel):
|
||||
out['time_dim_replace'] = comfy.conds.CONDRegular(self.process_latent_in(time_dim_replace))
|
||||
|
||||
return out
|
||||
|
||||
class Kandinsky5_image(Kandinsky5):
|
||||
def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
|
||||
super().__init__(model_config, model_type, device=device)
|
||||
|
||||
def concat_cond(self, **kwargs):
|
||||
return None
|
||||
|
||||
def process_latent_out(self, latent):
|
||||
return self.latent_format.process_out(latent)[:, :, 0]
|
||||
|
||||
@ -1505,6 +1505,24 @@ class Kandinsky5(supported_models_base.BASE):
|
||||
return supported_models_base.ClipTarget(comfy.text_encoders.kandinsky5.Kandinsky5Tokenizer, comfy.text_encoders.kandinsky5.te(**hunyuan_detect))
|
||||
|
||||
|
||||
models = [LotusD, 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, HunyuanVideo15_SR_Distilled, HunyuanVideo15, HunyuanImage21Refiner, HunyuanImage21, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, CosmosT2IPredict2, CosmosI2VPredict2, Lumina2, WAN22_T2V, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, WAN21_Vace, WAN21_Camera, WAN22_Camera, WAN22_S2V, WAN21_HuMo, WAN22_Animate, Hunyuan3Dv2mini, Hunyuan3Dv2, Hunyuan3Dv2_1, HiDream, Chroma, ChromaRadiance, ACEStep, Omnigen2, QwenImage, Kandinsky5]
|
||||
class Kandinsky5_image(Kandinsky5):
|
||||
unet_config = {
|
||||
"image_model": "kandinsky5",
|
||||
"model_dim": 2560,
|
||||
}
|
||||
|
||||
sampling_settings = {
|
||||
"shift": 3.0,
|
||||
}
|
||||
|
||||
latent_format = latent_formats.Flux
|
||||
memory_usage_factor = 1.8 #TODO
|
||||
|
||||
def get_model(self, state_dict, prefix="", device=None):
|
||||
out = model_base.Kandinsky5_image(self, device=device)
|
||||
return out
|
||||
|
||||
|
||||
models = [LotusD, 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, HunyuanVideo15_SR_Distilled, HunyuanVideo15, HunyuanImage21Refiner, HunyuanImage21, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, CosmosT2IPredict2, CosmosI2VPredict2, Lumina2, WAN22_T2V, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, WAN21_Vace, WAN21_Camera, WAN22_Camera, WAN22_S2V, WAN21_HuMo, WAN22_Animate, Hunyuan3Dv2mini, Hunyuan3Dv2, Hunyuan3Dv2_1, HiDream, Chroma, ChromaRadiance, ACEStep, Omnigen2, QwenImage, Kandinsky5_image, Kandinsky5]
|
||||
|
||||
models += [SVD_img2vid]
|
||||
|
||||
Loading…
Reference in New Issue
Block a user