Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
Flux
FluxPipeline
flux schnell
image-generation
flux-diffusers
photo
realism
Instructions to use AlekseyCalvin/HistoricColorSoonr_Schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/HistoricColorSoonr_Schnell 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/HistoricColorSoonr_Schnell", dtype=torch.bfloat16, device_map="cuda") prompt = "HST style autochrome film photograph portrait of 1910 woman playing poker against a purple feathered dinosaur, the green-eyed woman has moderately blemished skin with visible lines and pores, she smiles, film grain, Kodachrome" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files
transformer/config.json
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{
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"_class_name": "FluxTransformer2DModel",
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"_diffusers_version": "0.30.0.dev0",
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"attention_head_dim": 128,
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"guidance_embeds": false,
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"in_channels": 64,
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"joint_attention_dim": 4096,
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"num_attention_heads": 24,
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"num_layers": 19,
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"num_single_layers": 38,
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"patch_size": 1,
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"pooled_projection_dim": 768
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}
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transformer/diffusion_pytorch_model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:56a4e57f46b6c0876d292ae4d6ef10331c22bbeb8e447713d58549a0b62c5f5c
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size 9493472392
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transformer/diffusion_pytorch_model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02ee14a9ba31be629897182b991a3d0b9daaa193b1720c004073905d03416f42
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size 2397846496
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transformer/diffusion_pytorch_model.safetensors.index.json
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