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Oldjourney Lite.yaml

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+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    parameterization: "v"
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: True
+        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_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          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.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"

Oldjourney Ultra.yaml

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+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    parameterization: "v"
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: True
+        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_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          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.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"

README.md

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 ---
 license: creativeml-openrail-m
+language:
+- en
+tags:
+- Text-to-image
+- Diffusers
+- stable-diffusion
 ---
+<b>Oldjourney</b>
+
+Oldjourney is a finetuned Stable Diffusion 2.1 model trained on images from Midjourney 3 using Dreambooth. That older version of Midjourney was often messy and imprecise, but had a great artistic style. These two versions of Oldjourney can recreate the essence of that art style with added details, precision, and quality.
+
+The two models, Oldjourney Ultra and Oldjourney Lite, are very similar, but they have different strengths. Ultra is better at people, while Lite is better at painterly style images. 
+
+Use the keyword <b>Oldjourney</b> to trigger the style, and set the resolution to 768 x 768 or greater. Examples and sample prompts below.
+This is a model for Stable Diffusion 2.1, so make sure to download the yaml files.
+
+<b>Rendered with Oldjourney Lite</b>
+
+![Oldjourney Lite.png](https://s3.amazonaws.com/moonup/production/uploads/1673363360976-6362b8dc2a84d82a8c91145c.png)
+
+<b>Rendered with Oldjourney Ultra</b>
+
+![Oldjourney Ultra.png](https://s3.amazonaws.com/moonup/production/uploads/1673363412363-6362b8dc2a84d82a8c91145c.png)
+
+<b>Sample Prompts for Oldjourney Lite</b>
+
+<b>Sample 1</b>
+Oldjourney the legendary dream vortex and a dreamer, a boy laying on a bed in front of a vortex, ultrafine detailed painting, psychedelic art, watching the stars at night, pulled into the spiral vortex, videogame cover art, ... if only i could sleep, discord profile picture, time travel machine, photoshop render
+
+<b>Negative prompt:</b> pink, ugly, tiling,  out of frame, body out of frame, blurry, blurred, grainy, cut off, draft, (cropped:1.2),(overexposure:1.2), (high contrast:1.2), (poorly drawn hands:1.2), (poorly drawn feet:1.2), (poorly drawn face:1.2), (too long neck:1:2), (extra limbs:1.2), (less than two arms:1.2), (less than two legs:1.2), disfigured, deformed,(bad anatomy:1.2), (watermark:1.2), (logo:1.2), (barcode:1.2), (UI:1.2), (signature:1.2), (text:1.2), (label:1.5), (error:1.2), (title:1.2), stickers, markings, speech bubbles, lines, cropped, low res, low quality, artifacts, low quality, worst quality, bad quality
+
+<i>Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 810775161, Size: 768x768, Model: Oldjourney Lite, ENSD: 1</i>
+
+<b>Sample 2</b>
+Oldjourney an image of a wizard with a glowing staff turned to the side, black background, light art, full of colors and rich detail, color grunge, profile picture 1024px, glowing liquid, high detailed colors, colorful fire, an old man, blacklight, discord profile picture
+
+<b>Negative prompt:</b> ugly, tiling,  out of frame, body out of frame, blurry, blurred, grainy, cut off, draft, (cropped:1.2),(overexposure:1.2), (high contrast:1.2), (poorly drawn hands:1.2), (poorly drawn feet:1.2), (poorly drawn face:1.2), (too long neck:1:2), (extra limbs:1.2), (less than two arms:1.2), (less than two legs:1.2), disfigured, deformed,(bad anatomy:1.2), (watermark:1.2), (logo:1.2), (barcode:1.2), (UI:1.2), (signature:1.2), (text:1.2), (label:1.5), (error:1.2), (title:1.2), stickers, markings, speech bubbles, lines, cropped, low res, low quality, artifacts, low quality, worst quality, bad quality
+
+<i>Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2371590421, Size: 768x768, Model: Oldjourney Lite, ENSD: 1</i>
+
+<b>Sample 3</b>
+Oldjourney a dog with a tiny top hat and steampunk goggles on its head and a steampunk collar, matte painting, insanely detailed, ultrafine details, hyperrealism
+
+<b>Negative prompt:</b> (cropped:1.2),(overexposure:1.2), (high contrast:1.2), (watermark:1.2), (logo:1.2), (barcode:1.2), (UI:1.2), (signature:1.2), (text:1.2), (label:1.5), (error:1.2), (title:1.2), stickers, markings, speech bubbles, lines, cropped, low res, low quality, artifacts, low quality, worst quality, bad quality
+
+<i>Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3142299054, Size: 768x768, Model: Oldjourney Lite, ENSD: 1</i>
+
+<b>Sample Prompts for Oldjourney Ultra</b>
+
+<b>Sample 4</b>
+Oldjourney A woman facing the camera dancing aura of cosmic energy vortex of sparkling blue sand and glowing embers ((grunge)) smoke magical eerie noir lighting stars in the sky ethereal dream sandman surreal rembrandt artstation dark atmosphere 8k highly detailed atmospheric
+
+<b>Negative prompt:</b> ugly, tiling, (poorly drawn hands:1.2), (poorly drawn feet:1.2), (poorly drawn face:1.2),  out of frame, extra limbs, less than two arms, less than two legs, disfigured, deformed, body out of frame, blurry, (bad anatomy:1.2), blurred, grainy, cut off, draft, (overexposure:1.2), (high contrast:1.2),(cropped:1.2), (watermark:1.2), (logo:1.2), (barcode:1.2), (UI:1.2), (signature:1.2), (text:1.2), (label:1.5), (error:1.2), (title:1.2), stickers, markings, speech bubbles, lines, cropped, low res, low quality, artifacts, low quality, worst quality, bad quality
+
+<i>Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2676530026, Size: 768x768, Model: Oldjourney Ultra, ENSD: 1</i>
+
+<b>Sample 5</b>
+Oldjourney your fate revealed inside a crystal ball, crystal ball with swirling otherworldly fog reveals your fate, insanely detailed masterpiece Trending on Artstation 8k ray traced volumetric lighting ambient occlusion ultrafine details digital art painting
+
+<b>Negative prompt:</b> ugly, tiling,  out of frame, body out of frame, blurry, blurred, grainy, cut off, draft, (cropped:1.2),(overexposure:1.2), (high contrast:1.2), (poorly drawn hands:1.2), (poorly drawn feet:1.2), (poorly drawn face:1.2), (too long neck:1:2), (extra limbs:1.2), (less than two arms:1.2), (less than two legs:1.2), disfigured, deformed,(bad anatomy:1.2), (watermark:1.2), (logo:1.2), (barcode:1.2), (UI:1.2), (signature:1.2), (text:1.2), (label:1.5), (error:1.2), (title:1.2), stickers, markings, speech bubbles, lines, cropped, low res, low quality, artifacts, low quality, worst quality, bad quality
+
+<i>Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2555061923, Size: 768x768, Model: Oldjourney Ultra, ENSD: 1</i>
+
+<b>Sample 6</b>
+Oldjourney cosmic queen, ethereal woman with a crown on her head, head and shoulders portrait, fantasy art, star sky, star sky, face illuminated, sparkle, stars, cosmos, paticles
+
+<b>Negative prompt:</b> ugly, tiling,  out of frame, body out of frame, blurry, blurred, grainy, cut off, draft, (cropped:1.2),(overexposure:1.2), (high contrast:1.2), (poorly drawn hands:1.2), (poorly drawn feet:1.2), (poorly drawn face:1.2), (too long neck:1:2), (extra limbs:1.2), (less than two arms:1.2), (less than two legs:1.2), disfigured, deformed,(bad anatomy:1.2), (watermark:1.2), (logo:1.2), (barcode:1.2), (UI:1.2), (signature:1.2), (text:1.2), (label:1.5), (error:1.2), (title:1.2), stickers, markings, speech bubbles, lines, cropped, low res, low quality, artifacts, low quality, worst quality, bad quality
+
+<i>Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 868461039, Face restoration: GFPGAN, Size: 768x768, Model: Oldjourney Ultra, ENSD: 1</i>
+

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.11.1",
+  "feature_extractor": [
+      null,
+      null
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDIMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}