FLUX.1-dev
Unleash Your Creativity with the FLUX.1 [dev] Text-to-Image Model
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Run FLUX.1 [dev] on Novita AI
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What is FLUX.1 [dev]?
The FLUX.1 [dev]
model is a 12 billion parameter text-to-image model that uses a rectified flow transformer architecture to generate images from text descriptions. The platform requires users to agree to a non-commercial license in order to access its functionalities.
Key Features
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Cutting-edge output quality, second only to
FLUX.1 [pro]
. -
Competitive prompt following, matching closed-source alternatives.
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Trained using guidance distillation, making
FLUX.1 [dev]
more efficient. -
Open weights to drive research and enable innovative workflows.
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Usable for personal, scientific, and commercial purposes under the FLUX.1 [dev] Non-Commercial License.
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Available via API from multiple providers, and integrated into ComfyUI and Diffusers.
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Limitations:
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Not intended for factual information, may amplify biases.
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Restrictions on use, including prohibitions on harmful activities.
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What is the Intended Use of FLUX.1 [dev]?
Developers and artists aim to generate unique visual content from text prompts. It can be used in graphic design, advertising, content creation, and research.
Technical Details of FLUX.1 [dev]
Model Architecture
FLUX.1 [dev]
uses a 12 billion parameter rectified flow transformer architecture capable of generating images from text descriptions.
Training Data
FLUX.1 [dev]
utilizes diverse data sets from multiple sources, including public image libraries and edited collections.
Performance Benchmarks
FLUX.1 [dev]
demonstrates excellent performance in:
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Adhering to prompts
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Visual quality
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Anatomical accuracy
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Handling complex scenes
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Supporting multiple aspect ratios and resolutions from 0.1 to 2.0 megapixels.
Comparing FLUX.1 [dev] with Other Models
Accuracy and Quality
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FLUX.1 [dev]: Offers solid performance and image quality, slightly below the Pro version but superior to mainstream SD 3 Ultra models.
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FLUX.1 [pro]: The most powerful model, delivering the highest quality in image generation, making it a choice for demanding applications.
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FLUX.1 [schnell]: The lightest and fastest version, optimized for speed and efficiency, suitable for applications where quick processing is prioritized over maximum image
Pricing
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FLUX.1 [dev]: $0.030/image
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FLUX.1 [pro]: $0.055/image
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FLUX.1 [schnell]: $0.003/image
Targeted Users
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FLUX.1 [dev]: Commonly used for development and testing. Ideal for users who need high-quality output but do not require the absolute highest performance.
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FLUX.1 [pro]: Designed for professional users who demand the highest detail and quality of images.
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FLUX.1 [schnell]: Optimized for users with limited resources.
API Endpoint
The FLUX.1 [dev]
is available on Novita AI. We offer:
Run on Novita AI
FLUX.1 [dev]
is now available on the Novita AI Instance! Get started quickly without any installation—setup takes just a minute or two. Enjoy a scalable solution capable of running models efficiently and affordably. Try out our Novita AI template today!
How Can You Use FLUX.1 [dev] with the Diffusers Python Library?
To use FLUX.1 [dev]
with the diffusers python library, first install or upgrade diffusers
1pip install -U diffusers
Then you can use FluxPipeline
to run the model
1import torch 2from diffusers import FluxPipeline 3pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16) 4pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power 5prompt = "A cat holding a sign that says hello world" 6image = pipe( 7 prompt, 8 height=1024, 9 width=1024, 10 guidance_scale=3.5, 11 num_inference_steps=50, 12 max_sequence_length=512, 13 generator=torch.Generator("cpu").manual_seed(0) 14).images[0] 15image.save("flux-dev.png")
To learn more check out the diffusers documentation.
What Does a Typical FLUX.1 [dev] Workflow Look Like?
1{"last_node_id":36,"last_link_id":57,"nodes":[{"id":33,"type":"CLIPTextEncode","pos":[390,400],"size":{"0":422.84503173828125,"1":164.31304931640625},"flags":{"collapsed":true},"order":4,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":54,"slot_index":0,"label":"clip"}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[55],"slot_index":0,"label":"CONDITIONING"}],"title":"CLIP Text Encode (Negative Prompt)","properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":[""],"color":"#322","bgcolor":"#533"},{"id":27,"type":"EmptySD3LatentImage","pos":[471,455],"size":{"0":315,"1":106},"flags":{},"order":0,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[51],"shape":3,"slot_index":0,"label":"LATENT"}],"properties":{"Node name for S&R":"EmptySD3LatentImage"},"widgets_values":[1024,1024,1],"color":"#323","bgcolor":"#535"},{"id":35,"type":"FluxGuidance","pos":[576,96],"size":{"0":211.60000610351562,"1":58},"flags":{},"order":5,"mode":0,"inputs":[{"name":"conditioning","type":"CONDITIONING","link":56,"label":"conditioning"}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[57],"shape":3,"slot_index":0,"label":"CONDITIONING"}],"properties":{"Node name for S&R":"FluxGuidance"},"widgets_values":[3.5]},{"id":8,"type":"VAEDecode","pos":[1151,195],"size":{"0":210,"1":46},"flags":{},"order":7,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":52,"label":"samples"},{"name":"vae","type":"VAE","link":46,"label":"vae"}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0,"label":"IMAGE"}],"properties":{"Node name for S&R":"VAEDecode"}},{"id":34,"type":"Note","pos":[831,501],"size":{"0":282.8617858886719,"1":164.08004760742188},"flags":{},"order":1,"mode":0,"properties":{"text":""},"widgets_values":["Note that Flux dev and schnell do not have any negative prompt so CFG should be set to 1.0. Setting CFG to 1.0 means the negative prompt is ignored."],"color":"#432","bgcolor":"#653"},{"id":30,"type":"CheckpointLoaderSimple","pos":[48,192],"size":{"0":315,"1":98},"flags":{},"order":2,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[47],"shape":3,"slot_index":0,"label":"MODEL"},{"name":"CLIP","type":"CLIP","links":[45,54],"shape":3,"slot_index":1,"label":"CLIP"},{"name":"VAE","type":"VAE","links":[46],"shape":3,"slot_index":2,"label":"VAE"}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["flux1-dev-fp8.safetensors"]},{"id":9,"type":"SaveImage","pos":[1375,194],"size":{"0":985.3012084960938,"1":1060.3828125},"flags":{},"order":8,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":9,"label":"images"}],"properties":{},"widgets_values":["ComfyUI"]},{"id":6,"type":"CLIPTextEncode","pos":[384,192],"size":{"0":422.84503173828125,"1":164.31304931640625},"flags":{},"order":3,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":45,"label":"clip"}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[56],"slot_index":0,"label":"CONDITIONING"}],"title":"CLIP Text Encode (Positive Prompt)","properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls"],"color":"#232","bgcolor":"#353"},{"id":31,"type":"KSampler","pos":[816,192],"size":{"0":315,"1":262},"flags":{},"order":6,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":47,"label":"model"},{"name":"positive","type":"CONDITIONING","link":57,"label":"positive"},{"name":"negative","type":"CONDITIONING","link":55,"label":"negative"},{"name":"latent_image","type":"LATENT","link":51,"label":"latent_image"}],"outputs":[{"name":"LATENT","type":"LATENT","links":[52],"shape":3,"slot_index":0,"label":"LATENT"}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[972054013131368,"randomize",20,1,"euler","simple",1]}],"links":[[9,8,0,9,0,"IMAGE"],[45,30,1,6,0,"CLIP"],[46,30,2,8,1,"VAE"],[47,30,0,31,0,"MODEL"],[51,27,0,31,3,"LATENT"],[52,31,0,8,0,"LATENT"],[54,30,1,33,0,"CLIP"],[55,33,0,31,2,"CONDITIONING"],[56,6,0,35,0,"CONDITIONING"],[57,35,0,31,1,"CONDITIONING"]],"groups":[],"config":{},"extra":{"ds":{"scale":1,"offset":[56.42885371989581,-14.294664184783073]}},"version":0.4}
Frequently Asked Questions
What are the differences between FLUX.1 [pro] and FLUX.1 [dev]?
FLUX.1 [pro] is a high-quality image generation model suited for professional applications, while FLUX.1 [dev] is optimized for efficiency, ideal for development and experimentation.
How does FLUX.1 [dev] handle various text descriptions for image generation?
FLUX.1 [dev] processes text descriptions by encoding them, understanding context through attention mechanisms, and generating high-quality images that match the input. It adapts to various prompts effectively.
What applications can benefit from using FLUX.1 [dev]?
FLUX.1 [dev] can enhance applications in art, marketing, game design, content creation, e-commerce, education, VR/AR, and film, generating high-quality images from text prompts.
What is Flux software development?
Flux is a declarative coordination language that simplifies concurrency, eliminating the need for threads or locks, allowing quick integration of C/C++ components.
Is Flux better than Redux?
Whether Flux is better than Redux depends on your needs. Redux offers simpler architecture and an easier learning curve, while Flux provides more flexibility.
License
This model falls under the FLUX.1 [dev] Non-Commercial License.
Excellent Collaboration Opportunity with Novita AI
We are dedicated to providing collaboration opportunities for developers.
Get in Touch:
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Email: support@novita.ai
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Discord: novita.ai
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