Instructions to use wikeeyang/Flux1-Dev-DedistilledMixTuned-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/Flux1-Dev-DedistilledMixTuned-v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux1-Dev-DedistilledMixTuned-v4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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# Flux1-Dev-DedistilledMixTuned V4.0 Full Version:
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V4.0 模型,是在 V3.0 的基础上,融合了 SRPO 模型的写实与细腻,Krea 模型的艺术性与多风格,以及良好的质感与LoRA兼容性,模型的综合能力有较大提升。
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1. 非常的真实与细腻,即使 TTP 直接放大至 8M 像素,依然能保持极好的细节。
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2. 提示词还原能力较大提升,推荐使用 LLM 强化和详细描述的结构化提示词。
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3. 良好的艺术表现力和风格多样性,良好的 LoRA 兼容性。
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The V4.0 model, built on the foundation of V3.0, integrates the realism and delicacy of the SRPO model, the artistry and multi-style capabilities of the Krea model, as well as good texture and LoRA compatibility, resulting in a significant improvement in the model's overall capabilities.
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1. Extremely realistic and delicate, maintaining excellent details even when TTP is directly enlarged to 8M pixels.
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2. Greatly improved prompt restoration capability, it is recommended to use LLM-enhanced and detailed structured prompts.
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3. Good artistic expression and style diversity, good LoRA compatibility.
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<p align="center">
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<img src="Compare.jpg" width="1200"/>
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---
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# Flux1-Dev-DedistilledMixTuned V4.0 Full Version:
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V4.0 模型(纯净基础模型),是在 V3.0 的基础上,融合了 SRPO 模型的写实与细腻,Krea 模型的艺术性与多风格,以及良好的质感与LoRA兼容性,模型的综合能力有较大提升。
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1. 非常的真实与细腻,即使 TTP 直接放大至 8M 像素,依然能保持极好的细节。
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2. 提示词还原能力较大提升,推荐使用 LLM 强化和详细描述的结构化提示词。
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3. 良好的艺术表现力和风格多样性,良好的 LoRA 兼容性,用户可根据个人喜好组合添加各种 LoRA,包括 NSFW / SFW 模型。
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The V4.0 model(Pure base model), built on the foundation of V3.0, integrates the realism and delicacy of the SRPO model, the artistry and multi-style capabilities of the Krea model, as well as good texture and LoRA compatibility, resulting in a significant improvement in the model's overall capabilities.
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1. Extremely realistic and delicate, maintaining excellent details even when TTP is directly enlarged to 8M pixels.
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2. Greatly improved prompt restoration capability, it is recommended to use LLM-enhanced and detailed structured prompts.
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3. Good artistic expression and style diversity, good LoRA compatibility, include all kind of NSFW / SFW LoRAs.
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<p align="center">
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<img src="Compare.jpg" width="1200"/>
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