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README.md

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 ---
+inference: true
+language:
+  - en
+tags:
+  - stable-diffusion
+  - text-to-image
 license: creativeml-openrail-m
 ---
+
+
+# Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by [PromptHero](https://prompthero.com/)
+---
+> ## [Openjourney-v2 beta is ready, try it out!](https://huggingface.co/prompthero/openjourney-v2)
+---
+
+
+Use prompt: 'mdjrny-v4 style'
+
+# Gradio
+
+We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Openjourney:
+[![Open In Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/akhaliq/midjourney-v4-diffusion)
+
+
+### 🧨 Diffusers
+
+
+
+### Stable Diffusion v1.5 vs Openjourney 
+(Same parameters, just added "mdjrny-v4 style" at the beginning):
+<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587642-63265d019f9d19bfd4f45031.png" width="100%"/>
+<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587623-63265d019f9d19bfd4f45031.png" width="100%"/>
+<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587609-63265d019f9d19bfd4f45031.png" width="100%"/>
+<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587646-63265d019f9d19bfd4f45031.png" width="100%"/>
+
+[Click here](https://prompthero.com/openjourney-prompts) for more Openjourney prompts and inspiration.
+
+
+
+### 🧨 Diffusers
+
+This model can be used just like any other Stable Diffusion model. For more information,
+please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
+
+You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+model_id = "prompthero/openjourney"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+prompt = "retro serie of different cars with different colors and shapes, mdjrny-v4 style"
+image = pipe(prompt).images[0]
+image.save("./retro_cars.png")
+```

mdjrny-v4.ckpt

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+oid sha256:5d5ad06cc24170b32f25f0180a357e315848000c5f400ffda350e59142fabd68
+size 2132856622

mdjrny-v4.safetensors

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+oid sha256:aba96b389d00943360a82d4b955c85a44baefec493a96bbd9d521258e6e467a0
+size 2132625462

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:40a255878ab9382df07730db8d1719512fe60a61c931288d152511ab6443b4af
+size 492265879

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.7.2",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}