fix repo

README.md

@@ -2,29 +2,20 @@
 license: other
 language:
 - en
-library_name: diffusers
 pipeline_tag: text-to-image
 tags:
 - art
 ---
-some random merges and or ggml conversions
+some merges and or ggml conversions
 
 
-booru tags
+img: booru tags, use the `/awoo/` models preferibly, as theyre the best
 
-## fname explanation
- - `yom.safetensors` | ehhh
- - `yompastel45.safetensors` | extra color
- - `yompastel65.safetensors` | more color
- - `yomga70.safetensors` | pretty good
- - `awooooooo.safetensors` | probably the best one
-
-licensed under yodayno v2:
+all non-ggml models are licensed under yodayno v2:
 ```
 This license allows you to use the model, but only for non-commercial purposes. You cannot use the model or any part of it in a paid service or sell it.
 If you use the model on any platform, you must provide a link or reference to the original model. You must give credit to the licensor whenever you use the model.
 The licensor does not provide any warranty and is not liable for any damages caused by the use of the model.
 If you break any of the terms, this license will be terminated.
 This license is governed by the laws of the jurisdiction in which the licensor is located.
-```
-take that yodayo
+```

anithing.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:54c057fcf75b03e6847a2b29c3240097d1675690a205441ead3ec80487311a40
-size 4265096720

awoo/README.md

@@ -0,0 +1,8 @@
+# awoo! models
+
+these models are actually good, some style merges will be found in `/awoostyles/` whenever i feel like merging them
+
+- awoooooo.sfts
+- - base model for the other awoo models
+- awooooooo.sfts
+- - more color, more better, no baked lora/ti 

classic/README.md

@@ -0,0 +1,12 @@
+# classic models
+
+these are some old models, i dont reccomend using them
+
+- yomga.sfts
+- - one of the few good ones
+  - more colorful
+- yom.sfts
+- - original one
+  - more dried out
+
+the rest are not that good, apart from anithing probably

inpaint/README.md

@@ -0,0 +1,5 @@
+# inpaint models
+
+they're used to inpaint
+
+yup

model_index.json

@@ -1,33 +0,0 @@
-{
-  "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.11.1",
-  "feature_extractor": [
-    "transformers",
-    "CLIPImageProcessor"
-  ],
-  "requires_safety_checker": true,
-  "safety_checker": [
-    "stable_diffusion",
-    "StableDiffusionSafetyChecker"
-  ],
-  "scheduler": [
-    "diffusers",
-    "PNDMScheduler"
-  ],
-  "text_encoder": [
-    "transformers",
-    "CLIPTextModel"
-  ],
-  "tokenizer": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
-  "unet": [
-    "diffusers",
-    "UNet2DConditionModel"
-  ],
-  "vae": [
-    "diffusers",
-    "AutoencoderKL"
-  ]
-}

yom.yaml

@@ -1,70 +0,0 @@
-model:
-  base_learning_rate: 1.0e-04
-  target: ldm.models.diffusion.ddpm.LatentDiffusion
-  params:
-    linear_start: 0.00085
-    linear_end: 0.0120
-    num_timesteps_cond: 1
-    log_every_t: 200
-    timesteps: 1000
-    first_stage_key: "image"
-    cond_stage_key: "caption"
-    image_size: 64
-    channels: 4
-    cond_stage_trainable: false   # Note: different from the one we trained before
-    conditioning_key: crossattn
-    monitor: val/loss_simple_ema
-    scale_factor: 0.18215
-    use_ema: False
-
-    scheduler_config: # 10000 warmup steps
-      target: ldm.lr_scheduler.LambdaLinearScheduler
-      params:
-        warm_up_steps: [ 10000 ]
-        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
-        f_start: [ 1.e-6 ]
-        f_max: [ 1. ]
-        f_min: [ 1. ]
-
-    unet_config:
-      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
-      params:
-        image_size: 32 # unused
-        in_channels: 4
-        out_channels: 4
-        model_channels: 320
-        attention_resolutions: [ 4, 2, 1 ]
-        num_res_blocks: 2
-        channel_mult: [ 1, 2, 4, 4 ]
-        num_heads: 8
-        use_spatial_transformer: True
-        transformer_depth: 1
-        context_dim: 768
-        use_checkpoint: True
-        legacy: False
-
-    first_stage_config:
-      target: ldm.models.autoencoder.AutoencoderKL
-      params:
-        embed_dim: 4
-        monitor: val/rec_loss
-        ddconfig:
-          double_z: true
-          z_channels: 4
-          resolution: 256
-          in_channels: 3
-          out_ch: 3
-          ch: 128
-          ch_mult:
-            - 1
-            - 2
-            - 4
-            - 4
-          num_res_blocks: 2
-          attn_resolutions: [ ]
-          dropout: 0.0
-        lossconfig:
-          target: torch.nn.Identity
-
-    cond_stage_config:
-      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder