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- FLUX_MidJourney_Anime.safetensors +3 -0
- README.md +90 -0
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FLUX_MidJourney_Anime.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3363c53b7e80accfca15d8dae5dd6ad780923d4414bdb5270ea978352bd525c7
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size 19273576
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README.md
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---
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license: other
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license_name: bespoke-lora-trained-license
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license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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- migrated
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- anime
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- midjourny
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- style
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- midjourney anime
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- the protoart
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- midjourney v6
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- protoart
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: egmid
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widget:
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---
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# FLUX MidJourney Anime
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<Gallery />
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## Model description
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<p>This is my first attempt at creating an anime style based off midjourney using flux so it might take a bit more fine tuning</p><p></p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>
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## Trigger words
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You should use `egmid` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/brushpenbob/flux-midjourney-anime/tree/main) them in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('brushpenbob/flux-midjourney-anime', weight_name='FLUX_MidJourney_Anime.safetensors')
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image = pipeline('`egmid`').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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