update lora weight

README.md

@@ -1,14 +1,14 @@
 # How to make 
-- pretrained model: [epiCRealism](https://civitai.com/models/25694?modelVersionId=134065) + [hyper CFG lora 12steps](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SD15-12steps-CFG-lora.safetensors)
+1. pretrained model: [epiCRealism](https://civitai.com/models/25694?modelVersionId=134065) + [hyper CFG lora 12steps](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SD15-12steps-CFG-lora.safetensors)
 -> merge with lora weight 0.3
-- lora model: [AnimateLCM_sd15_t2v_lora.safetensors](https://huggingface.co/wangfuyun/AnimateLCM/blob/main/AnimateLCM_sd15_t2v_lora.safetensors)-> merge with lora weight 0.3
+2. model merged at step1 + lora model: [AnimateLCM_sd15_t2v_lora.safetensors](https://huggingface.co/wangfuyun/AnimateLCM/blob/main/AnimateLCM_sd15_t2v_lora.safetensors)-> merge with lora weight 0.8
 
 ```python
 # Load the motion adapter
 adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-3", torch_dtype=torch.float16)
 
 # load SD 1.5 based finetuned model
-model_id = "/home/hyejin2/test/models/epiCRealism-hyper-LCM.safetensors"
+model_id = "/home/hyejin2/test/models/epiCRealism-hyper-LCM-8.safetensors"
 
 pipe = AnimateDiffVideoToVideoPipeline.from_single_file(model_id, motion_adapter=adapter, torch_dtype=torch.float16)
 pipe.save_pretrained("models/hello")

model_index.json

@@ -15,7 +15,7 @@
   ],
   "scheduler": [
     "diffusers",
-    "DPMSolverSinglestepScheduler"
+    "PNDMScheduler"
   ],
   "text_encoder": [
     "transformers",

scheduler/scheduler_config.json

@@ -1,21 +1,15 @@
 {
-  "_class_name": "DPMSolverSinglestepScheduler",
+  "_class_name": "PNDMScheduler",
   "_diffusers_version": "0.29.2",
-  "algorithm_type": "dpmsolver++",
-  "beta_end": 0.0145,
-  "beta_schedule": "linear",
-  "beta_start": 0.00065,
-  "dynamic_thresholding_ratio": 0.995,
-  "final_sigmas_type": "zero",
-  "lambda_min_clipped": -Infinity,
-  "lower_order_final": true,
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
-  "sample_max_value": 1.0,
-  "solver_order": 2,
-  "solver_type": "midpoint",
-  "thresholding": false,
-  "trained_betas": null,
-  "use_karras_sigmas": true,
-  "variance_type": null
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null
 }

unet/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b18686171a652fd1c511d0bcaacfe1f124808189fafaff0bcb800d615e27c1b7
+oid sha256:9171838047148f15652dd4654bf3efa8c6a299669de6b5b782fa05623960782b
 size 2554599720