Text-to-Image
Diffusers
Safetensors
FluxPipeline
FluxPipeline
FLUXv1-schnell
image-generation
flux-diffusers
art
realism
photography
illustration
anime
full finetune
trained
finetune
trainable
full-finetune
checkpoint
text2image
Schnell
Flux
HSToric
Historic
DiT
transformer
Instructions to use AlekseyCalvin/HyperHistoricColor_FluxDev_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/HyperHistoricColor_FluxDev_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/HyperHistoricColor_FluxDev_Diffusers", 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
- Draw Things
- DiffusionBee
Create README.md
Browse files
README.md
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---
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license: unlicense
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base_model:
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- black-forest-labs/FLUX.1-dev
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library_name: diffusers
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pipeline_tag: text-to-image
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emoji: 🌊
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tags:
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- FluxPipeline
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- FLUXv1-schnell
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- image-generation
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- flux-diffusers
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- diffusers
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- art
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- realism
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- photography
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- illustration
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- anime
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- full finetune
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- trained
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- finetune
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- trainable
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- full-finetune
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- checkpoint
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- text2image
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- Schnell
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- Flux
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- HSToric
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- Historic
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- DiT
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- transformer
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---
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Herein lives a HF/Diffusers port of our Hyper (accelerated) Flux-Dev-based [Hyper Historic Color](https://huggingface.co/AlekseyCalvin/Hyper_Historic_Color_FluxDev/tree/main) model.
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Find a safetensors version at the link above.
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