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
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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"_name_or_path": "../checkpoints/flux-dev/transformer",
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"attention_head_dim": 128,
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"guidance_embeds": true,
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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 sha256:8a3a3295a0fc41b8d0796526721e68367aed54f66f4cbc52b7a20a058ae4aad7
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size 9475381640
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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:be4233cc219f4ed9fee33146ee549f9e121a1d34c451347f60be69cbcf56e64f
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size 2426167528
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transformer/diffusion_pytorch_model.safetensors.index.json
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