Adding `diffusers` weights of this model

#2
model_index.json CHANGED
@@ -1,18 +1,22 @@
1
  {
2
  "_class_name": "StableDiffusionPipeline",
3
- "_diffusers_version": "0.18.0.dev0",
4
  "feature_extractor": [
5
  "transformers",
6
  "CLIPFeatureExtractor"
7
  ],
8
- "requires_safety_checker": null,
9
- "safety_checker": [
10
  null,
11
  null
12
  ],
 
 
 
 
 
13
  "scheduler": [
14
  "diffusers",
15
- "HeunDiscreteScheduler"
16
  ],
17
  "text_encoder": [
18
  "transformers",
 
1
  {
2
  "_class_name": "StableDiffusionPipeline",
3
+ "_diffusers_version": "0.25.0.dev0",
4
  "feature_extractor": [
5
  "transformers",
6
  "CLIPFeatureExtractor"
7
  ],
8
+ "image_encoder": [
 
9
  null,
10
  null
11
  ],
12
+ "requires_safety_checker": true,
13
+ "safety_checker": [
14
+ "stable_diffusion",
15
+ "StableDiffusionSafetyChecker"
16
+ ],
17
  "scheduler": [
18
  "diffusers",
19
+ "PNDMScheduler"
20
  ],
21
  "text_encoder": [
22
  "transformers",
scheduler/scheduler_config.json CHANGED
@@ -1,20 +1,15 @@
1
  {
2
- "_class_name": "HeunDiscreteScheduler",
3
- "_diffusers_version": "0.18.0.dev0",
4
  "beta_end": 0.012,
5
  "beta_schedule": "scaled_linear",
6
  "beta_start": 0.00085,
7
  "clip_sample": false,
8
- "clip_sample_range": 1.0,
9
- "dynamic_thresholding_ratio": 0.995,
10
  "num_train_timesteps": 1000,
11
  "prediction_type": "epsilon",
12
- "rescale_betas_zero_snr": false,
13
- "sample_max_value": 1.0,
14
  "set_alpha_to_one": false,
 
15
  "steps_offset": 1,
16
- "thresholding": false,
17
  "timestep_spacing": "leading",
18
- "trained_betas": null,
19
- "use_karras_sigmas": false
20
  }
 
1
  {
2
+ "_class_name": "PNDMScheduler",
3
+ "_diffusers_version": "0.25.0.dev0",
4
  "beta_end": 0.012,
5
  "beta_schedule": "scaled_linear",
6
  "beta_start": 0.00085,
7
  "clip_sample": false,
 
 
8
  "num_train_timesteps": 1000,
9
  "prediction_type": "epsilon",
 
 
10
  "set_alpha_to_one": false,
11
+ "skip_prk_steps": true,
12
  "steps_offset": 1,
 
13
  "timestep_spacing": "leading",
14
+ "trained_betas": null
 
15
  }